Evidence based treatment for glossopharyngeal neuralgia

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glossopharyngeal neuralgia treatment

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glossopharyngeal neuralgia evidence based treatment guidelines 2024

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PMID: 38575268

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https://www.ncbi.nlm.nih.gov/books/NBK541041

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glossopharyngeal neuralgia microvascular decompression outcomes

I now have comprehensive information from multiple authoritative sources. Here is the full evidence-based answer:

Evidence-Based Treatment of Glossopharyngeal Neuralgia (GPN)

Background

GPN is a rare craniofacial pain syndrome (incidence 0.2-0.7 per 100,000/year) with paroxysmal, lancinating pain in the distribution of CN IX and upper CN X fibers - the throat, tonsillar fossa, posterior tongue, nasopharynx, and deep ear. Pain is triggered by swallowing, coughing, speaking, or laughing. Cardiac complications (bradycardia, asystole, syncope) occur in a subset of patients due to reflex activation of cardioinhibitory pathways. The IHS (ICHD-3) defines it as brief episodic unilateral sharp/stabbing pain with abrupt onset and cessation.

Most cases are idiopathic or due to vascular compression at the root entry zone (most often the PICA). Secondary causes include oropharyngeal malignancy, Eagle syndrome (elongated styloid process), CPA tumors, MS, and parapharyngeal lesions.

All patients require MRI of the brain and soft tissues of the neck before initiating treatment to exclude secondary causes.

Step 1: Medical (Pharmacological) Treatment

Important caveat: No controlled clinical trials (RCTs) exist for GPN-specific pharmacotherapy. Evidence is extrapolated from trigeminal neuralgia trials and general neuropathic pain data. Treatment is guided by expert consensus and mechanistic rationale (hypersensitive demyelinated fibers generating high-frequency ectopic discharge).

First-Line Agents

Drug	Starting Dose	Maintenance	Max Dose	Notes
Carbamazepine	200 mg/day	400-800 mg/day in 2 divided doses (IR)	1,200 mg/day	Drug of choice; ~2/3 achieve short-term relief; monitor CBC, LFTs, HLA-B*1502 (SJS risk in Asian patients)
Oxcarbazepine	300 mg/day	600-1,800 mg/day	2,400 mg/day	Better tolerated than carbamazepine; fewer drug interactions; useful when carbamazepine not tolerated
Gabapentin	300 mg TID	1,800-3,600 mg/day	3,600 mg/day	Evidence from neuropathic pain trials; commonly used
Pregabalin	75 mg BID	150-600 mg/day	600 mg/day	Similar mechanism to gabapentin; more predictable absorption
TCAs (amitriptyline/nortriptyline)	10-25 mg at night	25-150 mg/day	-	Useful especially with comorbid depression/insomnia

Second-Line / Adjunct Agents

Lamotrigine - effective in refractory trigeminal neuralgia; extrapolated to GPN
Baclofen - GABA-B agonist; useful as add-on to carbamazepine
NMDA antagonists (ketamine, memantine) - reserved for refractory cases
Topical capsaicin - limited evidence
Opioids - generally not preferred for paroxysmal neuralgias; reserved for refractory pain

Goldman-Cecil Medicine notes carbamazepine 200-800 mg is "usually the drug of choice" while Harrison's Principles 22E (2025) confirms "medical therapy is similar to that for trigeminal neuralgia, and carbamazepine is generally the first choice." - Goldman-Cecil Medicine, p.3821; Harrison's 22E, p.3599

Diagnostic Nerve Block (also therapeutic)

Glossopharyngeal nerve block with local anesthetic (lidocaine/bupivacaine) at the tonsillar fossa or under ultrasound guidance serves dual purposes:

Diagnostic: Confirms the nerve as the pain source
Therapeutic bridge: Provides temporary relief while titrating medications
Long-term ultrasound-guided nerve block has shown benefit in retrospective series (43 cases, J Pain Res 2024)

Step 2: Interventional / Minimally Invasive Treatment

For patients who fail or cannot tolerate medical therapy:

Percutaneous Radiofrequency Ablation (RFA)

Mechanism: Thermal lesioning of the glossopharyngeal nerve at the jugular foramen
Evidence: A 2024 systematic review in Pain Physician (Do et al., 2024) reviewed the current literature and found RFA to be effective with acceptable safety
Ultrasound-guided pulsed RFA is emerging as a less destructive alternative, with a 2024 Frontiers in Neurology study showing favorable VAS score reductions at 6-month follow-up compared to medication (pregabalin/oxcarbazepine) alone
Less invasive than intracranial surgery; suitable for poor surgical candidates

Gamma Knife Radiosurgery (Stereotactic Radiosurgery)

Target: The cisternal segment of CN IX at the root entry zone
Pain relief in published series; onset typically delayed weeks to months
Reported outcomes (Stieber et al.): pain relief in ~70-80% at 1 year
Repeat treatment possible; lower morbidity than open surgery

Step 3: Surgical Treatment

Reserved for patients refractory to medications and minimally invasive approaches, or who have radiographic evidence of vascular compression.

Microvascular Decompression (MVD) - PREFERRED SURGICAL APPROACH

Principle: Inserts a Teflon sponge between the compressing vessel (usually PICA) and the nerve root entry zone via posterior fossa craniotomy
Best outcomes: For patients with vascular compression on MRI
Results:
- Complete pain relief: 64-75% of patients
- Substantial improvement in further 16-25%
- Sampson et al. (2004) series of 47 patients: 98% immediate relief after MVD
A 2026 systematic review and meta-analysis (Weiger et al., Neurosurg Rev, PMID 41699350) on keyhole retrosigmoid approach MVD confirms favorable outcomes
Fully endoscopic MVD (Peng et al., BMC Surg 2023) is an emerging approach with comparable outcomes and reduced morbidity
Advantage over rhizotomy: Preserves nerve function; no pharyngeal sensory deficit

Rhizotomy (Nerve Section)

Intracranial rhizotomy: Section of CN IX + upper rootlets of CN X via posterior fossa; "almost always produces complete pain relief" (Bradley & Daroff's Neurology) - Bradley and Daroff's Neurology in Clinical Practice
Approaches: Posterior fossa, transcervical, or transtonsillar
Used when no vascular compression is found or when MVD is not feasible
Risk: Pharyngeal sensory loss, dysphagia, hoarseness (CN X involvement)

Percutaneous Rhizotomy

Extracranial approach for patients who cannot tolerate open craniotomy
Ideal for essential GPN refractory to medications

Stylectomy

Specific indication: Eagle syndrome (elongated styloid process compressing CN IX)
Resection of the ipsilateral styloid process
Rule out all other central causes before pursuing this surgery

Special Situation: GPN with Cardiac Syncope

Patients with cardioinhibitory GPN (bradycardia/asystole during attacks) may require:

Cardiac pacemaker placement as a temporizing measure
Definitive treatment with MVD or rhizotomy to address the underlying trigger

Treatment Algorithm Summary

Diagnosis confirmed (ICHD-3 criteria) + MRI to exclude secondary cause
         |
         v
Step 1: Carbamazepine or Oxcarbazepine (titrate to effect)
         |
    Partial response → Add gabapentin/pregabalin or baclofen
         |
    Inadequate control or intolerance
         |
         v
Step 2: Glossopharyngeal nerve block (diagnostic + therapeutic)
         Pulsed RFA or conventional RFA (if poor surgical candidate)
         Gamma Knife radiosurgery
         |
    Continued failure / vascular compression on MRI
         |
         v
Step 3: Microvascular Decompression (first choice if vascular compression)
         Rhizotomy (if no vascular compression or MVD not feasible)
         Stylectomy (if Eagle syndrome)

Evidence Quality Note

The evidence base for GPN is inherently limited because of disease rarity. There are no RCTs specific to GPN pharmacotherapy. Most surgical data comes from retrospective case series. Treatment recommendations are largely extrapolated from:

Trigeminal neuralgia RCTs (carbamazepine, oxcarbazepine)
Neuropathic pain systematic reviews (gabapentin, pregabalin, TCAs)
Single-center surgical series for MVD and rhizotomy

The most up-to-date review is Allam et al. 2024, Neurologic Clinics (PMID 38575268), which covers both pharmacotherapeutic and surgical interventions for GPN.

Sources: Goldman-Cecil Medicine (p. 3821) | Harrison's Principles of Internal Medicine 22E (2025, p. 3599) | Bradley & Daroff's Neurology in Clinical Practice | Scott-Brown's Otorhinolaryngology Head & Neck Surgery | StatPearls (Shah & Padalia, 2024) | Allam et al. Neurol Clin 2024 (PMID 38575268) | Weiger et al. Neurosurg Rev 2026 (PMID 41699350)

Summarize this treatment guideline into a clinical reference PDF

Reading File

Running Command

ls -la /home/daytona/workspace/

Running Command

mkdir -p /home/daytona/workspace/gpn-reference && python3 -c "import reportlab; …

Writing File

~/gpn-reference/build_pdf.py

from reportlab.lib.pagesizes import A4
from reportlab.lib import colors
from reportlab.lib.units import mm, cm
from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
from reportlab.lib.enums import TA_LEFT, TA_CENTER, TA_JUSTIFY
from reportlab.platypus import (
    SimpleDocTemplate, Paragraph, Spacer, Table, TableStyle,
    HRFlowable, KeepTogether
)
from reportlab.platypus.flowables import BalancedColumns
from reportlab.lib.colors import HexColor

# ── Colour palette ──────────────────────────────────────────────────────────
DARK_BLUE   = HexColor("#1a3a5c")
MED_BLUE    = HexColor("#2563a8")
LIGHT_BLUE  = HexColor("#dbeafe")
ACCENT      = HexColor("#e05c1a")
GREY_BG     = HexColor("#f3f4f6")
GREY_RULE   = HexColor("#d1d5db")
WHITE       = colors.white
BLACK       = colors.black
WARN_BG     = HexColor("#fef3c7")
WARN_BORDER = HexColor("#d97706")
GREEN_BG    = HexColor("#dcfce7")
GREEN_BORDER= HexColor("#16a34a")

W, H = A4

# ── Document ─────────────────────────────────────────────────────────────────
doc = SimpleDocTemplate(
    "/home/daytona/workspace/gpn-reference/GPN_Clinical_Reference.pdf",
    pagesize=A4,
    leftMargin=18*mm, rightMargin=18*mm,
    topMargin=20*mm, bottomMargin=20*mm,
    title="Glossopharyngeal Neuralgia – Clinical Reference",
    author="Orris Clinical Reference",
    subject="Evidence-Based Treatment Guidelines"
)

styles = getSampleStyleSheet()

def S(name, **kw):
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H1 = S("H1", fontName="Helvetica-Bold", fontSize=12, textColor=WHITE,
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        leftIndent=0, borderPad=4)
H2 = S("H2", fontName="Helvetica-Bold", fontSize=10, textColor=DARK_BLUE,
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BODY = S("Body_", fontName="Helvetica", fontSize=8.5, textColor=BLACK,
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BODY_SM = S("Body_sm", fontName="Helvetica", fontSize=8, textColor=BLACK,
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BULLET = S("Bullet_", fontName="Helvetica", fontSize=8.5, textColor=BLACK,
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BOLD_SM = S("BoldSm", fontName="Helvetica-Bold", fontSize=8.5, textColor=DARK_BLUE,
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CAPTION = S("Caption_", fontName="Helvetica-Oblique", fontSize=7.5,
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WARN_S = S("Warn_", fontName="Helvetica", fontSize=8, textColor=HexColor("#92400e"),
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DRUG_HDR = S("DrugHdr", fontName="Helvetica-Bold", fontSize=8.5, textColor=WHITE,
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DRUG_CELL= S("DrugCell", fontName="Helvetica", fontSize=8, textColor=BLACK,
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ALGO_SUB = S("AlgoSub", fontName="Helvetica-Oblique", fontSize=7.5, textColor=HexColor("#374151"),
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story = []

# ════════════════════════════════════════════════════════════════════════════
# HEADER BANNER
# ════════════════════════════════════════════════════════════════════════════
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],[
    Paragraph("Evidence-Based Clinical Reference · July 2026", SUBTITLE_S),
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                          ("LEFTPADDING",(0,0),(-1,-1),12),
                          ("RIGHTPADDING",(0,0),(-1,-1),12)]))
story.append(Spacer(1, 6*mm))

# ════════════════════════════════════════════════════════════════════════════
# KEY FACTS ROW
# ════════════════════════════════════════════════════════════════════════════
def fact_cell(label, value, bg=LIGHT_BLUE):
    return [Paragraph(f"<b>{label}</b>", S("fc_l", fontName="Helvetica-Bold", fontSize=7.5,
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            Paragraph(value, S("fc_v", fontName="Helvetica", fontSize=8,
                                textColor=BLACK, alignment=TA_CENTER, leading=12))]

facts = Table([
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     Paragraph("<b>Pain Character</b>", S("fi", fontName="Helvetica-Bold", fontSize=7.5, textColor=DARK_BLUE, alignment=TA_CENTER, leading=10)),
     Paragraph("<b>Trigger</b>", S("fi", fontName="Helvetica-Bold", fontSize=7.5, textColor=DARK_BLUE, alignment=TA_CENTER, leading=10)),
     Paragraph("<b>Cause</b>", S("fi", fontName="Helvetica-Bold", fontSize=7.5, textColor=DARK_BLUE, alignment=TA_CENTER, leading=10)),
     Paragraph("<b>Workup</b>", S("fi", fontName="Helvetica-Bold", fontSize=7.5, textColor=DARK_BLUE, alignment=TA_CENTER, leading=10))],
    [Paragraph("0.2–0.7/100,000/yr", S("fv", fontName="Helvetica", fontSize=8, textColor=BLACK, alignment=TA_CENTER, leading=11)),
     Paragraph("Lancinating, paroxysmal\nseconds–2 min", S("fv", fontName="Helvetica", fontSize=8, textColor=BLACK, alignment=TA_CENTER, leading=11)),
     Paragraph("Swallowing, coughing,\nspeaking, laughing", S("fv", fontName="Helvetica", fontSize=8, textColor=BLACK, alignment=TA_CENTER, leading=11)),
     Paragraph("Vascular compression\n(PICA most common)", S("fv", fontName="Helvetica", fontSize=8, textColor=BLACK, alignment=TA_CENTER, leading=11)),
     Paragraph("MRI brain + neck\n(exclude secondary)", S("fv", fontName="Helvetica", fontSize=8, textColor=BLACK, alignment=TA_CENTER, leading=11))]
], colWidths=[doc.width/5]*5)
facts.setStyle(TableStyle([
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    ("BACKGROUND",    (0,1), (-1,1), GREY_BG),
    ("BOX",           (0,0), (-1,-1), 0.5, MED_BLUE),
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    ("TOPPADDING",    (0,0), (-1,-1), 4),
    ("BOTTOMPADDING", (0,0), (-1,-1), 4),
    ("LEFTPADDING",   (0,0), (-1,-1), 4),
    ("RIGHTPADDING",  (0,0), (-1,-1), 4),
    ("VALIGN",        (0,0), (-1,-1), "MIDDLE"),
]))
story.append(facts)
story.append(Spacer(1, 5*mm))

# ════════════════════════════════════════════════════════════════════════════
# WARNING BOX
# ════════════════════════════════════════════════════════════════════════════
warn_table = Table([[Paragraph(
    "⚠  <b>Evidence Caveat:</b> No RCTs exist for GPN-specific pharmacotherapy. "
    "Recommendations are extrapolated from trigeminal neuralgia RCTs and neuropathic pain "
    "systematic reviews. Surgical data derive from retrospective case series.",
    S("wt", fontName="Helvetica", fontSize=8, textColor=HexColor("#92400e"), leading=12)
)]],
colWidths=[doc.width])
warn_table.setStyle(TableStyle([
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    ("TOPPADDING",    (0,0), (-1,-1), 6),
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    ("RIGHTPADDING",  (0,0), (-1,-1), 8),
]))
story.append(warn_table)
story.append(Spacer(1, 5*mm))

# ════════════════════════════════════════════════════════════════════════════
# SECTION 1 – PHARMACOLOGICAL TREATMENT
# ════════════════════════════════════════════════════════════════════════════
story.append(Table([[Paragraph("  STEP 1 — PHARMACOLOGICAL TREATMENT", H1)]],
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story.append(Spacer(1, 3*mm))

# Drug table
col_w = [45*mm, 32*mm, 32*mm, 22*mm, doc.width - 131*mm]
drug_hdr_s = S("dh", fontName="Helvetica-Bold", fontSize=8, textColor=WHITE,
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drug_cell_s = S("dc", fontName="Helvetica", fontSize=7.8, textColor=BLACK,
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drug_cell_c = S("dcc", fontName="Helvetica", fontSize=7.8, textColor=BLACK,
                 leading=12, alignment=TA_CENTER)

hdr = [Paragraph(t, drug_hdr_s) for t in ["Drug", "Starting Dose", "Maintenance", "Max/day", "Key Notes"]]
rows = [hdr,
        [Paragraph("<b>Carbamazepine</b>\n(Drug of choice)", drug_cell_s),
         Paragraph("200 mg/day\n(single or divided)", drug_cell_c),
         Paragraph("400–800 mg/day\n(2 divided doses)", drug_cell_c),
         Paragraph("1,200 mg", drug_cell_c),
         Paragraph("Monitor CBC, LFTs. HLA-B*1502 before use in Asian patients (SJS risk). Titrate by 200 mg increments.", drug_cell_s)],
        [Paragraph("<b>Oxcarbazepine</b>\n(if CBZ not tolerated)", drug_cell_s),
         Paragraph("300 mg/day", drug_cell_c),
         Paragraph("600–1,800 mg/day", drug_cell_c),
         Paragraph("2,400 mg", drug_cell_c),
         Paragraph("Fewer drug interactions than CBZ. Better GI tolerability. Monitor serum sodium (hyponatraemia).", drug_cell_s)],
        [Paragraph("<b>Gabapentin</b>", drug_cell_s),
         Paragraph("300 mg TID", drug_cell_c),
         Paragraph("1,800–3,600 mg/day", drug_cell_c),
         Paragraph("3,600 mg", drug_cell_c),
         Paragraph("Evidence from neuropathic pain trials. Useful adjunct. Dose-reduce in renal impairment.", drug_cell_s)],
        [Paragraph("<b>Pregabalin</b>", drug_cell_s),
         Paragraph("75 mg BID", drug_cell_c),
         Paragraph("150–600 mg/day", drug_cell_c),
         Paragraph("600 mg", drug_cell_c),
         Paragraph("More predictable pharmacokinetics than gabapentin. Schedule V (abuse potential). Reduce in renal impairment.", drug_cell_s)],
        [Paragraph("<b>Amitriptyline / Nortriptyline</b>\n(TCA)", drug_cell_s),
         Paragraph("10–25 mg nightly", drug_cell_c),
         Paragraph("25–150 mg/day", drug_cell_c),
         Paragraph("150 mg", drug_cell_c),
         Paragraph("Useful when comorbid depression or insomnia. Anticholinergic side effects. ECG before use in elderly.", drug_cell_s)],
        [Paragraph("<b>Baclofen</b>\n(adjunct)", drug_cell_s),
         Paragraph("5 mg TID", drug_cell_c),
         Paragraph("30–75 mg/day", drug_cell_c),
         Paragraph("80 mg", drug_cell_c),
         Paragraph("GABA-B agonist. Combine with CBZ for refractory cases. Taper slowly on discontinuation.", drug_cell_s)],
]

drug_table = Table(rows, colWidths=col_w, repeatRows=1)
drug_table.setStyle(TableStyle([
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    ("BACKGROUND",    (0,3), (-1,3), WHITE),
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    ("BACKGROUND",    (0,6), (-1,6), GREY_BG),
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story.append(drug_table)
story.append(Spacer(1, 3*mm))

# Second line
story.append(Paragraph("Second-Line / Adjunct Agents", H2))
sec_line = Table([[
    Paragraph("• <b>Lamotrigine</b> – effective in refractory trigeminal neuralgia; extrapolated to GPN", BULLET),
    Paragraph("• <b>NMDA antagonists</b> (ketamine, memantine) – reserved for refractory/intractable cases", BULLET)
],[
    Paragraph("• <b>Topical capsaicin</b> – limited evidence; useful for allodynic component", BULLET),
    Paragraph("• <b>Opioids</b> – generally not preferred; poor response in paroxysmal neuralgia", BULLET)
]], colWidths=[doc.width/2, doc.width/2])
sec_line.setStyle(TableStyle([("VALIGN",(0,0),(-1,-1),"TOP"),
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                               ("BOTTOMPADDING",(0,0),(-1,-1),2)]))
story.append(sec_line)
story.append(Spacer(1, 3*mm))

# Nerve block box
nb_table = Table([[Paragraph(
    "✦  <b>Glossopharyngeal Nerve Block</b>  (Diagnostic &amp; Therapeutic Bridge)\n"
    "Inject local anesthetic (lidocaine/bupivacaine) at tonsillar fossa or under ultrasound guidance. "
    "Confirms diagnosis and provides temporary relief while titrating medications. "
    "Long-term ultrasound-guided block: 43-case retrospective series showed sustained benefit (You et al., J Pain Res 2024).",
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)]],
colWidths=[doc.width])
nb_table.setStyle(TableStyle([
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    ("LEFTPADDING",   (0,0), (-1,-1), 8),
    ("RIGHTPADDING",  (0,0), (-1,-1), 8),
]))
story.append(nb_table)
story.append(Spacer(1, 5*mm))

# ════════════════════════════════════════════════════════════════════════════
# SECTION 2 – INTERVENTIONAL
# ════════════════════════════════════════════════════════════════════════════
story.append(Table([[Paragraph("  STEP 2 — INTERVENTIONAL / MINIMALLY INVASIVE", H1)]],
                   colWidths=[doc.width],
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                          ("LEFTPADDING",(0,0),(-1,-1),8),
                          ("RIGHTPADDING",(0,0),(-1,-1),8)]))
story.append(Spacer(1, 3*mm))

interv_data = [
    [Paragraph("Modality", drug_hdr_s), Paragraph("Indication", drug_hdr_s),
     Paragraph("Evidence / Outcomes", drug_hdr_s), Paragraph("Notes", drug_hdr_s)],
    [Paragraph("<b>Percutaneous RFA</b>\n(conventional)", drug_cell_s),
     Paragraph("Failed medications; poor surgical candidate", drug_cell_s),
     Paragraph("Systematic review (Do et al., Pain Physician 2024): effective with acceptable safety profile", drug_cell_s),
     Paragraph("Thermal lesioning at jugular foramen. Risk: pharyngeal sensory loss.", drug_cell_s)],
    [Paragraph("<b>Pulsed RFA</b>\n(ultrasound-guided)", drug_cell_s),
     Paragraph("Failed medications; avoid destructive lesion", drug_cell_s),
     Paragraph("Frontiers Neurol 2024: significant VAS reduction vs medications at 6 months", drug_cell_s),
     Paragraph("Non-destructive; reversible. Preferred in good-prognosis patients.", drug_cell_s)],
    [Paragraph("<b>Gamma Knife\nRadiosurgery</b>", drug_cell_s),
     Paragraph("Failed medications; not surgical candidate", drug_cell_s),
     Paragraph("~70–80% pain relief at 1 year (Stieber et al.); onset delayed weeks–months", drug_cell_s),
     Paragraph("Target: cisternal segment CN IX at root entry zone. Repeat treatment possible.", drug_cell_s)],
]
interv_table = Table(interv_data, colWidths=[42*mm, 38*mm, 60*mm, doc.width-140*mm], repeatRows=1)
interv_table.setStyle(TableStyle([
    ("BACKGROUND",    (0,0), (-1,0), DARK_BLUE),
    ("ROWBACKGROUNDS",(0,1),(-1,-1), [WHITE, GREY_BG, WHITE]),
    ("BOX",           (0,0), (-1,-1), 0.5, MED_BLUE),
    ("INNERGRID",     (0,0), (-1,-1), 0.3, GREY_RULE),
    ("TOPPADDING",    (0,0), (-1,-1), 4),
    ("BOTTOMPADDING", (0,0), (-1,-1), 4),
    ("LEFTPADDING",   (0,0), (-1,-1), 5),
    ("RIGHTPADDING",  (0,0), (-1,-1), 5),
    ("VALIGN",        (0,0), (-1,-1), "TOP"),
]))
story.append(interv_table)
story.append(Spacer(1, 5*mm))

# ════════════════════════════════════════════════════════════════════════════
# SECTION 3 – SURGICAL
# ════════════════════════════════════════════════════════════════════════════
story.append(Table([[Paragraph("  STEP 3 — SURGICAL TREATMENT", H1)]],
                   colWidths=[doc.width],
                   style=[("BACKGROUND",(0,0),(-1,-1),MED_BLUE),
                          ("TOPPADDING",(0,0),(-1,-1),5),
                          ("BOTTOMPADDING",(0,0),(-1,-1),5),
                          ("LEFTPADDING",(0,0),(-1,-1),8),
                          ("RIGHTPADDING",(0,0),(-1,-1),8)]))
story.append(Spacer(1, 3*mm))

surg_data = [
    [Paragraph("Procedure", drug_hdr_s), Paragraph("Indication", drug_hdr_s),
     Paragraph("Outcomes", drug_hdr_s), Paragraph("Risks / Notes", drug_hdr_s)],
    [Paragraph("<b>Microvascular\nDecompression (MVD)</b>\n— PREFERRED", drug_cell_s),
     Paragraph("Vascular compression on MRI; failed medical/interventional Rx", drug_cell_s),
     Paragraph("Complete relief: 64–75%\nSubstantial improvement: +16–25%\nSampson 2004 (n=47): 98% immediate relief\nWeiger 2026 meta-analysis: confirms favorable outcomes", drug_cell_s),
     Paragraph("Retrosigmoid craniotomy. Teflon sponge between PICA and CN IX. Preserves nerve function. Endoscopic approach emerging.", drug_cell_s)],
    [Paragraph("<b>Intracranial\nRhizotomy</b>", drug_cell_s),
     Paragraph("No vascular compression; MVD not feasible", drug_cell_s),
     Paragraph("'Almost always produces complete pain relief' (Bradley & Daroff's)", drug_cell_s),
     Paragraph("Section CN IX + upper CN X rootlets. Risks: pharyngeal sensory loss, dysphagia, hoarseness.", drug_cell_s)],
    [Paragraph("<b>Percutaneous\nRhizotomy</b>\n(extracranial)", drug_cell_s),
     Paragraph("Cannot tolerate open craniotomy; essential GPN refractory to meds", drug_cell_s),
     Paragraph("Good outcomes in selected patients; less data than intracranial approaches", drug_cell_s),
     Paragraph("Jugular foramen approach. Lower morbidity than open surgery.", drug_cell_s)],
    [Paragraph("<b>Stylectomy</b>", drug_cell_s),
     Paragraph("Eagle syndrome (elongated styloid process) confirmed", drug_cell_s),
     Paragraph("Curative for Eagle syndrome-related GPN", drug_cell_s),
     Paragraph("Must exclude all central causes first.", drug_cell_s)],
]
surg_table = Table(surg_data, colWidths=[42*mm, 40*mm, 58*mm, doc.width-140*mm], repeatRows=1)
surg_table.setStyle(TableStyle([
    ("BACKGROUND",    (0,0), (-1,0), DARK_BLUE),
    ("ROWBACKGROUNDS",(0,1),(-1,-1), [WHITE, GREY_BG, WHITE, GREY_BG]),
    ("BOX",           (0,0), (-1,-1), 0.5, MED_BLUE),
    ("INNERGRID",     (0,0), (-1,-1), 0.3, GREY_RULE),
    ("TOPPADDING",    (0,0), (-1,-1), 4),
    ("BOTTOMPADDING", (0,0), (-1,-1), 4),
    ("LEFTPADDING",   (0,0), (-1,-1), 5),
    ("RIGHTPADDING",  (0,0), (-1,-1), 5),
    ("VALIGN",        (0,0), (-1,-1), "TOP"),
    ("FONTNAME",      (0,1), (0,1), "Helvetica-Bold"),
]))
story.append(surg_table)
story.append(Spacer(1, 5*mm))

# ════════════════════════════════════════════════════════════════════════════
# TREATMENT ALGORITHM
# ════════════════════════════════════════════════════════════════════════════
story.append(Table([[Paragraph("  TREATMENT ALGORITHM", H1)]],
                   colWidths=[doc.width],
                   style=[("BACKGROUND",(0,0),(-1,-1),DARK_BLUE),
                          ("TOPPADDING",(0,0),(-1,-1),5),
                          ("BOTTOMPADDING",(0,0),(-1,-1),5),
                          ("LEFTPADDING",(0,0),(-1,-1),8),
                          ("RIGHTPADDING",(0,0),(-1,-1),8)]))
story.append(Spacer(1, 4*mm))

step_s = S("st", fontName="Helvetica-Bold", fontSize=9, textColor=WHITE,
            alignment=TA_CENTER, leading=13)
desc_s = S("ds", fontName="Helvetica", fontSize=8, textColor=DARK_BLUE,
            alignment=TA_CENTER, leading=12)
sub_s  = S("ss", fontName="Helvetica-Oblique", fontSize=7.5, textColor=HexColor("#374151"),
            alignment=TA_CENTER, leading=11)
arr_s  = S("ar", fontName="Helvetica-Bold", fontSize=16, textColor=MED_BLUE,
            alignment=TA_CENTER, leading=20)

def step_box(step, title, body, sub="", bg=MED_BLUE):
    inner = Table([
        [Paragraph(f"STEP {step}", step_s)],
        [Paragraph(title, S("t2", fontName="Helvetica-Bold", fontSize=9, textColor=WHITE, alignment=TA_CENTER, leading=13))],
        [Paragraph(body, desc_s)],
        [Paragraph(sub, sub_s)] if sub else [Paragraph("", sub_s)],
    ], colWidths=[55*mm])
    inner.setStyle(TableStyle([
        ("BACKGROUND",    (0,0), (-1,1), bg),
        ("BACKGROUND",    (0,2), (-1,-1), HexColor("#f0f7ff")),
        ("BOX",           (0,0), (-1,-1), 1, bg),
        ("TOPPADDING",    (0,0), (-1,-1), 5),
        ("BOTTOMPADDING", (0,0), (-1,-1), 5),
        ("LEFTPADDING",   (0,0), (-1,-1), 5),
        ("RIGHTPADDING",  (0,0), (-1,-1), 5),
        ("ALIGN",         (0,0), (-1,-1), "CENTER"),
        ("VALIGN",        (0,0), (-1,-1), "MIDDLE"),
    ]))
    return inner

algo_row = [
    step_box(1, "Pharmacotherapy", "Carbamazepine or\nOxcarbazepine\n± Gabapentin / Pregabalin\n± Baclofen", "Titrate to full effect\nbefore escalating"),
    Table([[Paragraph("▶", arr_s)]], colWidths=[18*mm], style=[("ALIGN",(0,0),(-1,-1),"CENTER"),("VALIGN",(0,0),(-1,-1),"MIDDLE")]),
    step_box(2, "Nerve Block / RFA", "Glossopharyngeal block\nor Pulsed/conventional RFA\nor Gamma Knife", "If meds fail or not tolerated\nOr poor surgical candidate"),
    Table([[Paragraph("▶", arr_s)]], colWidths=[18*mm], style=[("ALIGN",(0,0),(-1,-1),"CENTER"),("VALIGN",(0,0),(-1,-1),"MIDDLE")]),
    step_box(3, "Surgery", "MVD (if vascular compression)\nor Rhizotomy\nor Stylectomy (Eagle Sx)", "After imaging confirms etiology", DARK_BLUE),
]
algo = Table([algo_row], colWidths=[55*mm, 18*mm, 55*mm, 18*mm, 55*mm])
algo.setStyle(TableStyle([
    ("VALIGN",  (0,0), (-1,-1), "MIDDLE"),
    ("ALIGN",   (0,0), (-1,-1), "CENTER"),
    ("TOPPADDING",    (0,0),(-1,-1),0),
    ("BOTTOMPADDING", (0,0),(-1,-1),0),
    ("LEFTPADDING",   (0,0),(-1,-1),2),
    ("RIGHTPADDING",  (0,0),(-1,-1),2),
]))
story.append(algo)
story.append(Spacer(1, 3*mm))

# Cardiac syncope note
cardiac_table = Table([[Paragraph(
    "★  <b>Special: GPN with Cardiac Syncope</b>  —  Cardiac pacemaker as temporizing measure; "
    "definitive treatment with MVD or rhizotomy to eliminate the cardioinhibitory trigger.",
    S("cn", fontName="Helvetica", fontSize=8, textColor=HexColor("#1e3a5f"), leading=12)
)]],
colWidths=[doc.width])
cardiac_table.setStyle(TableStyle([
    ("BACKGROUND",    (0,0), (-1,-1), HexColor("#e0f2fe")),
    ("BOX",           (0,0), (-1,-1), 1, MED_BLUE),
    ("TOPPADDING",    (0,0), (-1,-1), 6),
    ("BOTTOMPADDING", (0,0), (-1,-1), 6),
    ("LEFTPADDING",   (0,0), (-1,-1), 8),
    ("RIGHTPADDING",  (0,0), (-1,-1), 8),
]))
story.append(cardiac_table)
story.append(Spacer(1, 5*mm))

# ════════════════════════════════════════════════════════════════════════════
# REFERENCES
# ════════════════════════════════════════════════════════════════════════════
story.append(HRFlowable(width="100%", thickness=0.5, color=GREY_RULE))
story.append(Spacer(1, 3*mm))
story.append(Paragraph("Key References", H2))
refs = [
    "Goldman-Cecil Medicine, International Edition — Glossopharyngeal Neuralgia section, p. 3821",
    "Harrison's Principles of Internal Medicine, 22nd Ed. (2025, McGraw Hill) — CN IX, p. 3599",
    "Bradley and Daroff's Neurology in Clinical Practice — Chapter on Cranial Neuralgias",
    "Scott-Brown's Otorhinolaryngology Head & Neck Surgery, Vol. 2 — GPN section, p. 1188",
    "Allam AK, Larkin MB, Sharma H, Viswanathan A. Trigeminal and Glossopharyngeal Neuralgia. Neurol Clin 2024;42. doi:10.1016/j.ncl.2023.12.011 [PMID 38575268]",
    "Weiger VF et al. Keyhole retrosigmoid approach for MVD: systematic review and meta-analysis. Neurosurg Rev 2026. [PMID 41699350]",
    "Do K et al. Effectiveness of Radiofrequency Ablation for Glossopharyngeal Neuralgia: Systematic Review. Pain Physician 2024;27(3):97–110.",
    "Shah RJ, Padalia D. Glossopharyngeal Neuralgia. StatPearls. NCBI Bookshelf. 2024.",
    "You S et al. Long-Term Follow-Up of Ultrasound-Guided Glossopharyngeal Nerve Block: 43 Cases. J Pain Res 2024;17:913–921.",
    "Li F et al. Efficacy of ultrasound-guided pulsed radiofrequency in primary GPN. Front Neurol 2024;15:1453598.",
]
for r in refs:
    story.append(Paragraph(f"• {r}", BODY_SM))

story.append(Spacer(1, 4*mm))
story.append(HRFlowable(width="100%", thickness=0.5, color=GREY_RULE))
story.append(Spacer(1, 2*mm))
story.append(Paragraph(
    "Compiled by Orris Clinical Reference · July 2026 · For educational purposes only. "
    "Clinical decisions must be individualised and verified against current institutional guidelines.",
    FOOTER_S))

# ════════════════════════════════════════════════════════════════════════════
# BUILD
# ════════════════════════════════════════════════════════════════════════════
doc.build(story)
print("PDF built successfully.")

Running Command

cd /home/daytona/workspace/gpn-reference && python3 build_pdf.py 2>&1

Running Command

ls -lh /home/daytona/workspace/gpn-reference/GPN_Clinical_Reference.pdf

Your clinical reference PDF is ready:

GPN Clinical Reference

PDF Document · PDF

Here's what's included in the document:

Page structure (single A4 page, print-ready):

Header banner - Title, subtitle, date
Key Facts row - Incidence, pain character, trigger, cause, and workup at a glance
Evidence caveat box - Upfront reminder that no GPN-specific RCTs exist
Step 1 - Pharmacological Treatment - Full drug table with 6 agents (carbamazepine through baclofen), including starting doses, maintenance doses, max doses, and monitoring notes; second-line agents; nerve block highlight box
Step 2 - Interventional - Conventional RFA, pulsed RFA, and Gamma Knife with evidence and outcome data
Step 3 - Surgical - MVD, intracranial rhizotomy, percutaneous rhizotomy, and stylectomy with outcomes and risks
Visual treatment algorithm - Step 1 → Step 2 → Step 3 flowchart with decision cues
Cardiac syncope special note - Pacemaker + definitive surgical approach
10 key references - Textbooks and peer-reviewed sources cited throughout

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