Iatrogenic disease map: 262 healthcare causes, 12 categories, 16 shared mechanisms

Iatrogenic Contributing Factors to Disease

TrialSite News (Opinion Article), Oct. 20, 2026 - - -PDF, 112 pages

Ronald N. Kostoff

Summary by Claude Opus 5.5 - November 2026

Note: Iatrogenic: describes illness, injury or other harm caused by medical care itself, such as drugs, surgery, devices, tests or hospital stays, rather than by the patient’s underlying condition.

Bottom line: This 244-page op-ed catalogues the ways healthcare itself can cause or worsen disease: 262 numbered "contributing factors" in 12 categories, each linked to diseases and proposed biological mechanisms. It is a useful map of where to look, not evidence of how often harm happens. Vitamin D comes up in only three places.

What it is: An opinion article on TrialSite News, not peer-reviewed and with no new data. Kostoff refined a query through several AI packages, then gave it to ChatGPT and Claude; the body text is mostly the ChatGPT response. The paper calls itself a narrative, mechanism-oriented synthesis, not a systematic review or meta-analysis. For scale, it cites a Global Burden of Disease analysis estimating 12.5 million new cases and 122,330 deaths worldwide from adverse effects of medical treatment in 2021 Zhang 2025.

The 12 categories at a glance**

Category Entries Examples Vitamin D mentioned?
A. Drugs 96 Antibiotics, steroids, PPIs, anticonvulsants, chemotherapy, opioids Yes – anticonvulsants
B. Hospital-acquired infections 16 Catheter infections, C. difficile, MRSA, contaminated endoscopes No
C. Surgery and anesthesia 31 Nerve injury, post-op delirium, bariatric and neck surgery, cesarean Yes – bariatric surgery
D. Implants and devices 12 Metal-on-metal hips, surgical mesh, breast implants, stents No
E. Radiation and imaging agents 7 Radiotherapy, CT scans, iodinated contrast, gadolinium No
F. Blood products and transplants 15 Transfusion lung injury, iron overload, prion transmission No
G. Vaccines 30 mRNA myocarditis, VITT clots, Guillain-Barré No
H. Hospital and ICU stays 19 Deconditioning, ICU weakness, falls, delirium, ventilator injury No
I. Overdiagnosis and test cascades 9 Incidentalomas, false-positive screening, nocebo No
J. Errors and systems 7 Medication errors, wrong-site surgery, handoff failures No
K. Product quality and contamination 9 Contaminated compounded drugs, nitrosamines, DEHP No
L. Pregnancy and development 11 Thalidomide, valproate, DES, antenatal steroids No
Total 262 16 shared mechanism families (e.g., oxidative stress, immune reactions, microbiome disruption) 2 entries plus the bone-disease pathway

Where vitamin D shows up (and where it doesn't)

Entry What the paper says Vitamin D link
A53 Enzyme-inducing anticonvulsants Osteomalacia and bone loss; enzyme induction speeds vitamin D breakdown Stated
C20 Bariatric surgery Calcium and vitamin D deficiency with osteoporosis Stated
Bone-disease pathway Common pathway for 10 drug and surgery routes includes a calcium and vitamin D deficit Stated
A21 Corticosteroids Osteoporosis, fractures, less calcium absorbed Not mentioned
A44 Proton-pump inhibitors Low magnesium rated established; fractures rated associational Not mentioned; magnesium is a vitamin D cofactor

VitaminDWiki's 24 drugs review lists many more drugs that can lower vitamin D, including corticosteroids and PPIs.

Vaccines and the author's own view: The AI-written text rates most serious vaccine reactions as rare compared with the diseases prevented, and lists MMR–autism and thimerosal claims as examined and not supported. Kostoff adds a bracketed comment disagreeing: he argues COVID-19 mRNA vaccine harms are grossly under-reported. In his Final Thoughts he also argues that drug combinations are essentially untested and that the medical literature has a pro-industry bias.

What this does NOT show

  • No new data or analysis: the evidence grades (E, P, H, C) are the AI's own judgments, not the result of a formal review.
  • References were not checked claim by claim; the author's note calls them "leads for verification, not an exhaustive reference list."
  • The count of 262 reflects how entries were split, not how common or serious each harm is; many entries give no absolute rates.
  • The AI-written text states that for nearly every listed treatment, benefit exceeds expected harm in properly selected patients; only errors, low-value care and contaminated products have little offsetting benefit.
  • Nothing on vitamin D dose, form or 25(OH)D level, and no test of vitamin D as protection against any listed harm.
  • The query and the full Claude and ChatGPT responses are separate appendix PDFs (see Sources).

Sources:


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