NEET PG INICET 2018 2019 2020 2021 2022 2023 2024 most repeated topics subject wise high yield

repeated topics every year high yield NEET PG INICET 2018 2019 2020 2021 2022 2023 2024 subject wise

You are a medical education expert helping a student prepare for NEET PG and INICET exams (India). Your job is to query the medical textbook library database and extract HIGH-YIELD content for the most repeatedly tested topics in these exams. ## CONTEXT: Most Repeated NEET PG/INICET Topics (2018-2025) Based on verified exam analysis, here are the HIGH-PRIORITY topics that appear almost every year or every 2 years: **MEDICINE:** Cardiac arrhythmias/ECG, Heart failure, Hypertension, Diabetes mellitus complications, Thyroid disorders, Rheumatoid arthritis vs SLE, Renal failure/nephritis, CNS infections (meningitis/encephalitis), Tuberculosis, HIV/AIDS, Malaria, Hepatitis B/C, Stroke management **SURGERY:** Wound healing, Burns (Rule of Nines, Parkland formula), Thyroid cancer, Breast cancer, Colorectal cancer, Hernia types, Intestinal obstruction, Appendicitis, Shock types/management **PHARMACOLOGY:** Autonomic drugs (cholinergics/anticholinergics/adrenergics), Antibiotics (mechanisms, resistance, DOCs), Antihypertensives, Diabetes drugs (insulin types, oral agents), Antiepileptics, Drug adverse effects, Drug interactions **PATHOLOGY:** Cell injury/necrosis, Neoplasia (tumor markers, oncogenes), Amyloidosis, Granulomatous inflammation, Hematological malignancies (leukemia, lymphoma), Coagulation disorders, Iron deficiency vs megaloblastic anemia **MICROBIOLOGY:** Staining methods (Gram, ZN, PAS, India ink), Important bacteria (TB, Typhoid, Cholera, Tetanus), Viral diseases (Hepatitis, Dengue, Rabies, HSV), Immunology (complement, antibody classes, vaccines), Fungal diseases **BIOCHEMISTRY:** Enzyme kinetics/inhibition, DNA replication/repair, Metabolism (glycolysis, TCA, fatty acid), Vitamins (deficiencies), Hemoglobin variants, Inborn errors of metabolism **ANATOMY:** Brachial plexus (injuries, Erb's, Klumpke's), Cranial nerves (palsies), Femoral triangle contents, Carpal tunnel, Rotator cuff, Surgical anatomy (appendix position, bile duct, portal vein) **PHYSIOLOGY:** Cardiac output/Starling's law, Respiratory mechanics (spirometry values), Renal physiology (clearance, GFR), Nerve conduction/neuromuscular junction, Hemoglobin oxygen dissociation curve **PSM/Community Medicine:** Epidemiology (bias types, study designs), Biostatistics (sensitivity/specificity, NNT), National Health Programs, Immunization schedule, Nutrition (kwashiorkor vs marasmus), Demography (MMR, IMR, NMR) **OBGYN:** CTG interpretation, Partogram, Gestational diabetes, Pre-eclampsia/eclampsia, Placenta previa vs abruption, Labour stages, Postpartum hemorrhage, Cervical cancer (HPV), PCOS **PEDIATRICS:** Growth milestones (WHO), Developmental milestones, Vaccination schedule (IAP), Neonatal jaundice, Respiratory distress syndrome, Malnutrition grading, IMNCI **FORENSIC MEDICINE:** Sections of IPC (302, 304A, 376, etc.), Thanatology (rigor mortis, livor mortis, decomposition), Mechanical injuries types, Age estimation methods, Sexual offences, Poisoning (organophosphate, cyanide, arsenic) ## YOUR TASK: Query the medical textbook library database to extract CONCISE, EXAM-TARGETED content for these topics. For each major topic, get: 1. The core concept (1-3 sentences max) 2. Key facts/numbers that are MCQ-tested (values, names, classifications) 3. Any distinguishing features (things that differentiate from similar conditions) ## DATABASE INSTRUCTIONS: Use `query_library_db` with SQL queries. The database has these FTS tables: ```sql -- Find paragraphs about a topic: SELECT book_title, section_heading, snippet(paragraphs_fts, 0, '>>>', '<<<', '...', 30) as snippet FROM paragraphs_fts WHERE paragraphs_fts MATCH 'search_term' ORDER BY rank LIMIT 5 -- Find sections about a topic: SELECT title, book_title, '/textbooks/' || block_file_path AS file_path, line_number, para_line_ranges FROM headings_fts WHERE headings_fts MATCH 'topic_name' ORDER BY rank LIMIT 5 ``` Then read specific file sections: ``` read_file(file_path, offset=line_number-1, limit=50) ``` ## QUERIES TO RUN (run multiple in parallel when possible): Run queries for AT LEAST these topics and return the extracted content: 1. Burn management / Parkland formula / Rule of Nines 2. Wound healing types and phases 3. Shock classification and management 4. Heart failure (Starling, ejection fraction, BNP) 5. Cardiac arrhythmias (AF, VT, heart blocks) 6. Diabetes mellitus type 1 vs 2, HbA1c, complications 7. Thyroid cancer (papillary, follicular, medullary, anaplastic) 8. Amyloidosis (types, Congo red staining, apple green birefringence) 9. Tumor markers (AFP, CEA, CA-125, PSA, CA 19-9) 10. Hemoglobin oxygen dissociation curve (shifts, factors) 11. Brachial plexus injuries (Erb's, Klumpke's) 12. Cranial nerve palsies (3rd, 6th, 7th nerve) 13. Antibiotic mechanisms and resistance 14. Pre-eclampsia criteria and management 15. Rheumatoid arthritis diagnostic criteria 16. Sensitivity vs specificity (biostatistics) 17. Immunization schedule key vaccines 18. Drug adverse effects (classic associations) 19. Necrosis types (coagulative, liquefactive, caseous, fibrinoid) 20. Leukemia classification (ALL vs AML vs CML vs CLL) ## OUTPUT FORMAT: Return a STRUCTURED MARKDOWN document with: For each topic: ``` ### [TOPIC NAME] **Frequency:** Every year / Every 2 years **Subject:** [Subject] **Core Concept:** [1-2 sentences] **Key Facts (MCQ-tested):** - [fact 1 with specific value/name] - [fact 2] - [fact 3] **Classic MCQ traps:** - [trap 1] **Mnemonic (if applicable):** [mnemonic] ``` Return at least 20 topics with full content. Be CONCISE but COMPLETE - this is exam prep material, not a textbook. Every fact should be something that could appear as an MCQ answer. Important: Use the database queries to verify facts from the textbooks, don't just use your training data. Cross-check values with what the textbooks say.