IRB presentation informed consent research ethics guidelines India

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informed consent clinical research

Which section should I prepare in detail first from the approved IRB document?

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mkdir -p "/tmp/workspace/irb-ppt/src" "/tmp/workspace/irb-ppt/output" && python3 -c "from docx import Document; p='/tmp/workspace/attachments/2a392efe-1d04-48ed-a3a3-ddfc4fa8147f/ayushi irb .docx'; d=Document(p); out=[]; [out.append(f'[{x.style.name}] {x.text}') for x in d.paragraphs if x.text.strip()]; [out.extend(['[TABLE]'] + [' | '.join(c.text.replace(chr(10),' / ') for c in r.cells) for r in t.rows]) for t in d.tables]; open('/tmp/workspace/irb-ppt/src/protocol_extracted.txt','w',encoding='utf-8').write('\n'.join(out))"

python3 - <<'PY' from pptx import Presentation from pptx.util import Inches, Pt from pptx.enum.text import PP_ALIGN, MSO_ANCHOR from pptx.enum.shapes import MSO_SHAPE from pptx.dml.color import RGBColor from pptx.enum.dml import MSO_LINE from pptx.enum.text import MSO_AUTO_SIZE from pathlib import Path OUT=Path('/tmp/workspace/irb-ppt/output/RDW_Heart_Failure_IRB_Presentation.pptx') prs=Presentation(); prs.slide_width=Inches(13.333); prs.slide_height=Inches(7.5) WHITE=RGBColor(255,255,255); BLACK=RGBColor(0,0,0) FONT='Calibri' def set_bg(slide): fill=slide.background.fill; fill.solid(); fill.fore_color.rgb=WHITE def add_text(slide, text, x,y,w,h, size=20, bold=False, align=PP_ALIGN.LEFT, valign=MSO_ANCHOR.TOP, bullets=False, level=0): box=slide.shapes.add_textbox(Inches(x),Inches(y),Inches(w),Inches(h)) tf=box.text_frame; tf.clear(); tf.word_wrap=True tf.margin_left=0; tf.margin_right=0; tf.margin_top=0; tf.margin_bottom=0 tf.vertical_anchor=valign lines=text if isinstance(text,list) else [text] for i,line in enumerate(lines): p=tf.paragraphs[0] if i==0 else tf.add_paragraph() p.text=line p.alignment=align; p.level=level p.space_after=Pt(8) if bullets: p.text='• '+line for r in p.runs: r.font.name=FONT; r.font.size=Pt(size); r.font.bold=bold; r.font.color.rgb=BLACK return box def title(slide, text): add_text(slide,text,0.65,0.42,12.0,0.55,size=28,bold=True) line=slide.shapes.add_shape(MSO_SHAPE.RECTANGLE,Inches(0.65),Inches(1.08),Inches(12.0),Inches(0.025)) line.fill.solid(); line.fill.fore_color.rgb=BLACK; line.line.fill.background() def footer(slide,n): add_text(slide,f'{n}',12.25,7.05,0.4,0.22,size=12,align=PP_ALIGN.RIGHT) def new(title_text,n): s=prs.slides.add_slide(prs.slide_layouts[6]); set_bg(s); title(s,title_text); footer(s,n); return s def bullets_slide(t, items, n, note=None): s=new(t,n) add_text(s,items,0.9,1.45,11.55,5.15,size=20,bullets=True) if note: add_text(s,note,0.9,6.68,11.5,0.22,size=12) return s def add_table(slide, headers, rows, x,y,w,h, fsize=18): cols=len(headers); row_count=len(rows)+1 table=slide.shapes.add_table(row_count,cols,Inches(x),Inches(y),Inches(w),Inches(h)).table for c in range(cols): table.columns[c].width=Inches(w/cols) for r in range(row_count): for c in range(cols): cell=table.cell(r,c); cell.fill.solid(); cell.fill.fore_color.rgb=WHITE cell.border if False else None cell.margin_left=Inches(.08); cell.margin_right=Inches(.08); cell.margin_top=Inches(.04); cell.margin_bottom=Inches(.04) tf=cell.text_frame; tf.clear(); tf.word_wrap=True; tf.vertical_anchor=MSO_ANCHOR.MIDDLE p=tf.paragraphs[0]; p.text=headers[c] if r==0 else rows[r-1][c]; p.alignment=PP_ALIGN.LEFT for run in p.runs: run.font.name=FONT; run.font.size=Pt(fsize); run.font.bold=(r==0); run.font.color.rgb=BLACK # borders through XML-ish line is not needed return table # 1 title s=prs.slides.add_slide(prs.slide_layouts[6]); set_bg(s) add_text(s,'A STUDY OF RED CELL DISTRIBUTION WIDTH AS A PROGNOSTIC MARKER IN PATIENTS WITH HEART FAILURE',0.75,1.0,11.85,1.4,size=28,bold=True,align=PP_ALIGN.CENTER,valign=MSO_ANCHOR.MIDDLE) add_text(s,['Principal Investigator: Dr. Ayushi Agrawal, 2nd Year Resident, General Medicine','P.G. Guide: Dr. P.N. Palat (Head of Unit)','Co-guides: Dr. Rajkamal Chaudhary (Associate Professor); Dr. Dhwani Shah (Assistant Professor)','Department of General Medicine','Smt. NHL Municipal Medical College, Ahmedabad, India'],1.2,3.0,10.95,2.8,size=20,align=PP_ALIGN.CENTER) footer(s,1) bullets_slide('Introduction: Heart Failure',[ 'Heart failure is a clinical syndrome caused by structural and/or functional cardiac abnormality.', 'It impairs ventricular filling or ejection, causing reduced cardiac output and/or raised intracardiac pressures.', 'Diagnosis is supported by clinical findings, natriuretic peptides and objective evidence of cardiogenic congestion.', 'Heart failure has substantial clinical and health-system burden, creating a need for accessible prognostic tools.' ],2) bullets_slide('Introduction: Why Red Cell Distribution Width?',[ 'RDW is a routinely reported complete blood count parameter that reflects variation in red-cell size (anisocytosis).', 'Elevated RDW may reflect inflammation, iron dysregulation, nutritional deficiency or marrow dysfunction in heart failure.', 'Unlike complex prognostic tools, RDW is readily available and cost-effective.', 'The study evaluates whether RDW can support risk stratification in patients with heart failure.' ],3) bullets_slide('Aim and Objectives',[ 'Primary objective: Assess the association between RDW level and clinical outcomes in patients with heart failure.', 'Secondary objective: Measure RDW levels in patients diagnosed with heart failure.', 'Secondary objective: Determine the prognostic value of RDW for disease severity and adverse outcomes.' ],4) s=new('Methodology: Study Overview',5) add_table(s,['Component','Protocol detail'],[ ['Study design','Prospective observational study'],['Study duration','1 year from IRB approval date'],['Study setting','Tertiary care hospital'],['Study population','Adults aged 18 years or older with heart failure diagnosed by standard clinical and echocardiographic criteria'],['Recruitment','Eligible patients enrolled during the study period after written informed consent'] ],0.9,1.5,11.5,4.75,fsize=18) s=new('Methodology: Sample Size and Sampling',6) add_text(s,['Sample size','Patients will be enrolled according to the approved study duration.','Sampling method','Consecutive enrollment of eligible consenting patients presenting during the study period.','Baseline data','Demographic, clinical and laboratory information, including RDW from routine complete blood count.'],1.0,1.55,11.2,4.7,size=20) s=new('Methodology: Eligibility Criteria',7) add_text(s,'Inclusion Criteria',0.9,1.4,5.6,0.4,size=24,bold=True) add_text(s,['Age 18 years or older','Heart failure based on standard clinical, laboratory and echocardiographic criteria','Written informed consent','Routine complete blood count available at enrollment'],0.9,2.0,5.6,3.7,size=20,bullets=True) add_text(s,'Exclusion Criteria',6.9,1.4,5.3,0.4,size=24,bold=True) add_text(s,['Hematological disorders affecting RBC indices','Hemoglobin below 9 g/dL','Blood transfusion within previous 3 months','Active infection, inflammatory disease, malignancy, chronic liver disease or end-stage renal disease','Pregnant or lactating women','Unwilling/unable to provide consent'],6.9,2.0,5.3,4.4,size=20,bullets=True) bullets_slide('Methodology: Study Procedures',[ 'Screen patients for eligibility and obtain written informed consent.', 'Assign study ID and record baseline demographic and clinical history.', 'Perform clinical examination and collect routine investigation results.', 'Record RDW from routine complete blood count at enrollment.', 'Assess ECG, chest radiograph, echocardiography, NT-proBNP, troponin-I, renal tests and other indicated routine investigations.', 'Follow patients prospectively for predefined clinical outcomes.' ],8) bullets_slide('Methodology: Outcome Measures',[ 'Disease severity, including clinical status and New York Heart Association functional classification.', 'Hospital readmission during follow-up.', 'Mortality during follow-up.', 'Association of baseline RDW with disease severity and adverse outcomes.' ],9) bullets_slide('Ethical Considerations',[ 'Minimal-risk observational study using clinical evaluations and laboratory investigations undertaken as routine care.', 'No additional invasive procedure is performed solely for research.', 'Written informed consent will be obtained before enrollment.', 'Participation is voluntary; refusal or withdrawal will not affect standard treatment.', 'Data will be coded and accessible only to the investigators; confidentiality will be maintained.', 'Participants may have no direct benefit; findings may aid future risk stratification in heart failure.' ],10) bullets_slide('Data Analysis Plan',[ 'Prepare a coded database and perform data quality checks before analysis.', 'Describe baseline variables and RDW values using appropriate descriptive statistics.', 'Compare RDW across disease-severity and outcome groups using appropriate statistical tests.', 'Assess association between RDW and readmission and/or mortality.', 'Estimate the prognostic value of RDW using appropriate association and predictive analyses.', 'Use a two-sided significance threshold of p < 0.05.' ],11, note='Exact test selection will depend on variable distribution and observed outcome data.') s=new('Clinical Proforma: Data Collection Tool',12) add_table(s,['Section','Key variables'],[ ['Patient information','Study ID, age, gender'],['Presenting complaints','Dyspnea, pedal edema, chest pain, palpitations, orthopnea, PND, cough/wheeze, fatigue, syncope'],['History and risk factors','Hypertension, diabetes, hypothyroidism, anemia, OSA/obesity, CAD, CKD, COPD, dyslipidemia; smoking, alcohol, tobacco; family history'],['Examination','Weight, height, BMI, BP, HR, RR, SpO2, pallor, edema, JVP, crackles, S3 gallop, hepatojugular reflux; CVS/RS examination'],['Investigations and outcomes','ECG, chest X-ray, echocardiography, CBC/RDW, NT-proBNP, troponin-I, RFT; NYHA class, prior admissions, follow-up outcome'] ],0.65,1.35,12.0,5.55,fsize=18) # consent slides s=new('Informed Consent Form: English',13) add_text(s,'A Study of Red Cell Distribution Width as a Prognostic Marker in Patients with Heart Failure',0.85,1.35,11.7,.55,size=24,bold=True,align=PP_ALIGN.CENTER) add_text(s,['I, ____________________, have received an explanation of this study.','I understand that information collected will remain confidential and be accessible only to the investigators.','My regular standard treatment, as decided by the treating physician, will not be affected by my participation.','Participation is voluntary. I may withdraw consent at any time without affecting my treatment.','I understand that the study is for educational/research purposes and I give written informed consent to participate.','Participant/Representative signature or thumbprint: __________ Investigator signature: __________ Date: __________'],0.85,2.15,11.65,4.2,size=20,bullets=True) s=new('Informed Consent Form: Hindi',14) add_text(s,'सूचित सहमति पत्र',0.85,1.3,11.7,.48,size=24,bold=True,align=PP_ALIGN.CENTER) add_text(s,'हृदय विफलता के मरीजों में रोग के पूर्वानुमान के संकेतक के तौर पर लाल रक्त कोशिका वितरण चौड़ाई का अध्ययन',0.85,1.95,11.7,.7,size=20,bold=True,align=PP_ALIGN.CENTER) add_text(s,['मैं, ____________________, को अध्ययन के बारे में समझाया गया है।','मुझे बताया गया है कि एकत्रित जानकारी गोपनीय रखी जाएगी और केवल शोधकर्ताओं को उपलब्ध होगी।','मेरे उपचार चिकित्सक द्वारा तय नियमित मानक उपचार पर इस अध्ययन का कोई प्रभाव नहीं पड़ेगा।','इस अध्ययन में भाग लेना स्वैच्छिक है और मैं किसी भी समय अपनी सहमति वापस ले सकता/सकती हूँ।','मैं अध्ययन में भाग लेने के लिए अपनी लिखित सूचित सहमति देता/देती हूँ।','मरीज/प्रतिनिधि के हस्ताक्षर/अंगूठे का निशान: __________ शोधकर्ता के हस्ताक्षर: __________ दिनांक: __________'],0.85,2.9,11.65,3.6,size=20,bullets=True) s=new('Informed Consent Form: Gujarati',15) add_text(s,'માહિતીપૂર્ણ સંમતિ પત્રક',0.85,1.3,11.7,.48,size=24,bold=True,align=PP_ALIGN.CENTER) add_text(s,'હૃદય નિષ્ફળતા ધરાવતા દર્દીઓમાં પૂર્વાનુમાન માર્કર તરીકે રેડ સેલ ડિસ્ટ્રિબ્યુશન વિડ્થનો અભ્યાસ',0.85,1.95,11.7,.7,size=20,bold=True,align=PP_ALIGN.CENTER) add_text(s,['હું, ____________________, ને આ અભ્યાસ વિશે સમજાવવામાં આવ્યું છે.','હું સમજું છું કે એકત્રિત માહિતી ગોપનીય રાખવામાં આવશે અને માત્ર સંશોધકોને ઉપલબ્ધ રહેશે.','સારવાર કરનાર ચિકિત્સક દ્વારા નક્કી કરાયેલ મારા નિયમિત માનક ઉપચાર પર આ અભ્યાસની અસર નહીં થાય.','આ અભ્યાસમાં મારી ભાગીદારી સ્વૈચ્છિક છે અને હું કોઈપણ સમયે મારી સંમતિ પાછી ખેંચી શકું છું.','હું આ અભ્યાસમાં ભાગ લેવા માટે મારી લેખિત માહિતીપૂર્ણ સંમતિ આપું છું.','દર્દી/પ્રતિનિધિની સહી/અંગૂઠાની નિશાની: __________ સંશોધકની સહી: __________ તારીખ: __________'],0.85,2.9,11.65,3.6,size=20,bullets=True) s=new('References',16) refs=['1. McDonagh TA, Metra M, Adamo M, et al. 2021 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure. Eur Heart J. 2021;42(36):3599-3726.','2. Yancy CW, Jessup M, Bozkurt B, et al. 2022 AHA/ACC/HFSA guideline for the management of heart failure. J Am Coll Cardiol. 2022;79(17):e263-e421.','3. Felker GM, Allen LA, Pocock SJ, et al. Red cell distribution width as a novel prognostic marker in heart failure: data from the CHARM Program and the Duke Databank. J Am Coll Cardiol. 2007;50(1):40-47.','4. Patel KV, Semba RD, Ferrucci L, et al. Red cell distribution width and mortality in older adults: a meta-analysis. J Gerontol A Biol Sci Med Sci. 2010;65(3):258-265.'] add_text(s,refs,0.8,1.4,11.8,5.7,size=18,bullets=False) # metadata prs.core_properties.title='RDW as a Prognostic Marker in Patients with Heart Failure' prs.core_properties.author='Dr. Ayushi Agrawal' prs.core_properties.subject='IRB-approved study presentation' prs.save(OUT) print(OUT) PY python3 - <<'PY' from pptx import Presentation p='/tmp/workspace/irb-ppt/output/RDW_Heart_Failure_IRB_Presentation.pptx' prs=Presentation(p) print('slides:',len(prs.slides)) print('size:',prs.slide_width,prs.slide_height) for i,s in enumerate(prs.slides,1): print(i, ' | '.join(sh.text.replace('\n',' / ')[:100] for sh in s.shapes if hasattr(sh,'text') and sh.text.strip())[:230]) PY

python3 - <<'PY' from pptx import Presentation from collections import Counter p='/tmp/workspace/irb-ppt/output/RDW_Heart_Failure_IRB_Presentation.pptx' prs=Presentation(p) fonts=Counter(); sizes=Counter(); colors=Counter(); blanks=[] for si,s in enumerate(prs.slides,1): for sh in s.shapes: if not sh.has_text_frame: continue for para in sh.text_frame.paragraphs: for r in para.runs: if r.text.strip(): fonts[r.font.name]+=1 sizes[round(r.font.size.pt if r.font.size else 0,1)]+=1 c=r.font.color.rgb if r.font.color and r.font.color.type else None colors[str(c)]+=1 print('fonts',fonts) print('sizes',sizes) print('colors',colors) print('slide count',len(prs.slides)) PY

PowerPoint readability recommended maximum bullets font size presentation slides

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python3 - <<'PY' from pptx import Presentation from pptx.util import Inches, Pt from pptx.enum.text import PP_ALIGN, MSO_ANCHOR from pptx.enum.shapes import MSO_SHAPE from pptx.dml.color import RGBColor from pathlib import Path out=Path('/tmp/workspace/irb-ppt/output/RDW_Heart_Failure_IRB_Presentation_Readable.pptx') prs=Presentation(); prs.slide_width=Inches(13.333); prs.slide_height=Inches(7.5) FONT='Calibri'; BLACK=RGBColor(0,0,0); WHITE=RGBColor(255,255,255) def tx(s, text, x,y,w,h, size, bold=False, align=PP_ALIGN.LEFT, bullet=False, gap=12): sh=s.shapes.add_textbox(Inches(x),Inches(y),Inches(w),Inches(h)) tf=sh.text_frame; tf.clear(); tf.word_wrap=True tf.margin_left=tf.margin_right=tf.margin_top=tf.margin_bottom=0 tf.vertical_anchor=MSO_ANCHOR.TOP vals=text if isinstance(text,list) else [text] for i,t in enumerate(vals): p=tf.paragraphs[0] if i==0 else tf.add_paragraph(); p.text=('• ' if bullet else '')+t; p.alignment=align; p.space_after=Pt(gap) for r in p.runs: r.font.name=FONT; r.font.size=Pt(size); r.font.bold=bold; r.font.color.rgb=BLACK return sh def base(number, heading=None): s=prs.slides.add_slide(prs.slide_layouts[6]); fill=s.background.fill; fill.solid(); fill.fore_color.rgb=WHITE if heading: tx(s,heading,0.75,.38,11.8,.54,28,True) bar=s.shapes.add_shape(MSO_SHAPE.RECTANGLE,Inches(.75),Inches(1.06),Inches(11.8),Inches(.025)); bar.fill.solid(); bar.fill.fore_color.rgb=BLACK; bar.line.fill.background() tx(s,str(number),12.25,7.02,.4,.2,12,False,PP_ALIGN.RIGHT) return s def bullets(n,heading,subheading,items): s=base(n,heading) if subheading: tx(s,subheading,.9,1.4,11.3,.42,24,True) tx(s,items,.98,2.05,11.25,4.65,20,False,bullet=True,gap=18) return s def label_value(s,label,value,y): tx(s,label,.95,y,3.0,.4,24,True) tx(s,value,4.1,y,7.7,.46,20) # 1 s=base(1) tx(s,['A STUDY OF RED CELL DISTRIBUTION WIDTH','AS A PROGNOSTIC MARKER IN','PATIENTS WITH HEART FAILURE'],.7,.78,11.93,1.75,28,True,PP_ALIGN.CENTER,gap=5) tx(s,['Principal Investigator: Dr. Ayushi Agrawal','P.G. Guide: Dr. P.N. Palat (Head of Unit)','Co-guides: Dr. Rajkamal Chaudhary and Dr. Dhwani Shah','Department of General Medicine','Smt. NHL Municipal Medical College, Ahmedabad'],1.0,3.15,11.3,2.75,20,False,PP_ALIGN.CENTER,gap=14) # intro 2 bullets(2,'Introduction','Heart failure',[ 'Clinical syndrome of impaired cardiac function', 'Causes reduced output or raised filling pressures', 'Diagnosis uses clinical and echocardiographic criteria', 'Prognosis varies substantially between patients']) bullets(3,'Introduction','Why RDW?',[ 'RDW is routinely reported with complete blood count', 'It reflects variation in red cell size', 'High RDW may accompany inflammation and iron dysregulation', 'Potential low-cost marker for risk stratification']) bullets(4,'Rationale','Why this study?',[ 'Heart failure needs practical prognostic markers', 'RDW requires no additional blood sampling', 'RDW may identify higher-risk patients', 'Indian hospital-based evidence is needed']) # objectives s=base(5,'Aim and Objectives') label_value(s,'Aim','Evaluate RDW as a prognostic marker in heart failure.',1.55) tx(s,'Primary Objective',.95,2.65,4,.4,24,True) tx(s,'Assess the association between RDW and clinical outcomes.',.95,3.18,11.2,.45,20) tx(s,'Secondary Objectives',.95,4.28,4,.4,24,True) tx(s,['Measure RDW levels in patients with heart failure.','Assess RDW for disease severity and adverse outcomes.'],.95,4.82,11.1,1.05,20,False,bullet=True,gap=16) # methods s=base(6,'Methodology') label_value(s,'Design','Prospective observational study',1.45) label_value(s,'Duration','One year from IRB approval',2.35) label_value(s,'Setting','Tertiary care hospital',3.25) label_value(s,'Population','Adults with heart failure',4.15) label_value(s,'Enrollment','During the approved study period',5.05) bullets(7,'Methodology','Sample and Sampling',[ 'Sample: patients enrolled during the study period', 'Eligible patients approached consecutively', 'Written informed consent before enrollment', 'No research-only invasive procedure']) bullets(8,'Methodology','Inclusion Criteria',[ 'Age 18 years or older', 'Heart failure diagnosed by standard criteria', 'Clinical, laboratory and echocardiographic assessment available', 'Written informed consent provided', 'Routine complete blood count at enrollment']) bullets(9,'Methodology','Exclusion Criteria: Hematological Factors',[ 'Hematological disorders affecting red-cell indices', 'Examples: hemolytic anemia or thalassemia', 'Hemoglobin below 9 g/dL', 'Blood transfusion within the previous 3 months']) bullets(10,'Methodology','Exclusion Criteria: Other Factors',[ 'Active infection or inflammatory disease', 'Malignancy or chronic liver disease', 'End-stage renal disease', 'Pregnancy or lactation', 'Unable or unwilling to provide consent']) bullets(11,'Methodology','Study Procedures: Enrollment',[ 'Screen for eligibility', 'Explain study and obtain written consent', 'Assign coded study identification number', 'Record demographics and relevant clinical history']) bullets(12,'Methodology','Study Procedures: Assessment',[ 'Clinical examination and vital signs', 'RDW from routine complete blood count', 'Routine investigations as clinically indicated', 'Echocardiography and NYHA functional classification']) bullets(13,'Methodology','Study Procedures: Follow-up',[ 'Follow patients prospectively', 'Record disease severity', 'Record hospital readmissions', 'Record mortality, where applicable']) bullets(14,'Methodology','Outcome Measures',[ 'Disease severity', 'New York Heart Association functional class', 'Hospital readmission during follow-up', 'Mortality during follow-up']) # ethics data bullets(15,'Ethical Considerations','Participant Protection',[ 'Minimal-risk observational study', 'All investigations are part of routine care', 'No additional invasive research procedure', 'Participation is voluntary', 'Withdrawal will not affect standard treatment']) bullets(16,'Ethical Considerations','Privacy and Risk-Benefit',[ 'Written consent before enrollment', 'Data coded and kept confidential', 'Access limited to investigators', 'No guaranteed direct participant benefit', 'Potential future benefit: improved risk stratification']) bullets(17,'Data Analysis','Planned Analysis',[ 'Create coded database and check data quality', 'Summarize clinical and RDW variables', 'Compare RDW across severity and outcome groups', 'Assess association with readmission and mortality', 'Use appropriate tests; two-sided p < 0.05']) # proforma three bullets(18,'Clinical Proforma','Patient Details',[ 'Study ID, age and gender', 'Presenting symptoms', 'Hypertension, diabetes and other comorbidities', 'Smoking, alcohol and tobacco use', 'Relevant family history']) bullets(19,'Clinical Proforma','Examination',[ 'Weight, height and body mass index', 'Blood pressure, pulse and oxygen saturation', 'Pallor, cyanosis and pedal edema', 'JVP, pulmonary crackles and S3 gallop', 'Cardiovascular and respiratory examination']) bullets(20,'Clinical Proforma','Investigations and Follow-up',[ 'ECG, chest X-ray and echocardiography', 'Complete blood count and RDW', 'NT-proBNP, troponin-I and renal function', 'NYHA class and previous admissions', 'Follow-up outcome']) # consents one slide each but readable shorter bullets(21,'Informed Consent Form','English',[ 'I have received an explanation of the study.', 'My information will be kept confidential.', 'My regular treatment will not be affected.', 'Participation is voluntary; I may withdraw anytime.', 'I give written consent to participate.']) s=prs.slides[-1]; tx(s,'Participant/Representative: __________ Investigator: __________ Date: __________',.95,6.45,11.2,.3,18) bullets(22,'सूचित सहमति पत्र','हिंदी',[ 'मुझे अध्ययन के बारे में समझाया गया है।', 'मेरी जानकारी गोपनीय रखी जाएगी।', 'मेरे नियमित उपचार पर कोई प्रभाव नहीं पड़ेगा।', 'भागीदारी स्वैच्छिक है; मैं कभी भी सहमति वापस ले सकता/सकती हूँ।', 'मैं भाग लेने के लिए लिखित सहमति देता/देती हूँ।']) s=prs.slides[-1]; tx(s,'मरीज/प्रतिनिधि: __________ शोधकर्ता: __________ दिनांक: __________',.95,6.45,11.2,.3,18) bullets(23,'માહિતીપૂર્ણ સંમતિ પત્રક','ગુજરાતી',[ 'મને અભ્યાસ વિશે સમજાવવામાં આવ્યું છે।', 'મારી માહિતી ગોપનીય રાખવામાં આવશે।', 'મારા નિયમિત ઉપચાર પર કોઈ અસર નહીં થાય।', 'ભાગીદારી સ્વૈચ્છિક છે; હું કોઈપણ સમયે સંમતિ પાછી ખેંચી શકું છું।', 'હું ભાગ લેવા માટે લેખિત સંમતિ આપું છું।']) s=prs.slides[-1]; tx(s,'દર્દી/પ્રતિનિધિ: __________ સંશોધક: __________ તારીખ: __________',.95,6.45,11.2,.3,18) # references 2 s=base(24,'References') tx(s,'Vancouver Style',.95,1.45,4,.35,24,True) tx(s,['1. McDonagh TA, Metra M, Adamo M, et al. 2021 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure. Eur Heart J. 2021;42(36):3599-3726.','2. Yancy CW, Jessup M, Bozkurt B, et al. 2022 AHA/ACC/HFSA guideline for the management of heart failure. J Am Coll Cardiol. 2022;79(17):e263-e421.'],.95,2.1,11.35,3.6,18,False,gap=22) s=base(25,'References') tx(s,'Vancouver Style',.95,1.45,4,.35,24,True) tx(s,['3. Felker GM, Allen LA, Pocock SJ, et al. Red cell distribution width as a novel prognostic marker in heart failure: data from the CHARM Program and the Duke Databank. J Am Coll Cardiol. 2007;50(1):40-47.','4. Patel KV, Semba RD, Ferrucci L, et al. Red cell distribution width and mortality in older adults: a meta-analysis. J Gerontol A Biol Sci Med Sci. 2010;65(3):258-265.'],.95,2.1,11.35,3.6,18,False,gap=22) prs.core_properties.title='RDW as a Prognostic Marker in Patients with Heart Failure' prs.core_properties.author='Dr. Ayushi Agrawal' prs.save(out) print(out) PY python3 - <<'PY' from pptx import Presentation from collections import Counter p='/tmp/workspace/irb-ppt/output/RDW_Heart_Failure_IRB_Presentation_Readable.pptx'; prs=Presentation(p) fonts=Counter(); sizes=Counter(); longest=[] for i,s in enumerate(prs.slides,1): chars=0 for sh in s.shapes: if sh.has_text_frame: chars+=len(sh.text) for pa in sh.text_frame.paragraphs: for r in pa.runs: if r.text.strip(): fonts[r.font.name]+=1; sizes[round(r.font.size.pt,1)]+=1 longest.append((chars,i)) print('slides',len(prs.slides),'fonts',fonts,'sizes',sizes) print('highest-text slides',sorted(longest,reverse=True)[:5]) PY

python3 - <<'PY' from pptx import Presentation from pptx.enum.shapes import MSO_SHAPE_TYPE p='/tmp/workspace/irb-ppt/output/RDW_Heart_Failure_IRB_Presentation_Readable.pptx' prs=Presentation(p) problems=[] for sn,slide in enumerate(prs.slides,1): for sh in slide.shapes: if sh.shape_type==MSO_SHAPE_TYPE.TEXT_BOX and sh.has_text_frame: if sh.left < 0 or sh.top < 0 or sh.left+sh.width > prs.slide_width or sh.top+sh.height > prs.slide_height: problems.append((sn,sh.text[:35],'outside')) for pgh in sh.text_frame.paragraphs: for r in pgh.runs: if r.text.strip() and (r.font.name!='Calibri' or r.font.color.rgb is None or str(r.font.color.rgb)!='000000'): problems.append((sn,r.text[:35],r.font.name,str(r.font.color.rgb))) print('out_of_bounds_or_format_issues:', problems) print('deck:', p) print('slides:',len(prs.slides)) PY ls -lh "/tmp/workspace/irb-ppt/output/RDW_Heart_Failure_IRB_Presentation_Readable.pptx"