Evidence map›Paper›PMID 40696098›Full record

ArticleNPJ digital medicine2025

Pitfalls of large language models in medical ethics reasoning.

Shelly Soffer, Vera Sorin, Girish N Nadkarni, Eyal Klang

Abstract readLetter
In one paragraph

Article in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Digital bioethics: exploring an emerging field.Medicine, health care, and philosophy · 2026
    Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Shelly SofferInstitute of Hematology, Davidoff Cancer Center, Rabin Medical Center, Petah Tikva, Israel.
Vera SorinDepartment of Radiology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, MN, USA.
Girish N NadkarniWindreich Department of Artificial Intelligence and Human Health, Mount Sinai Health System, New York, NY, USA.
Eyal KlangWindreich Department of Artificial Intelligence and Human Health, Mount Sinai Health System, New York, NY, USA. Eyal.Klang@mountsinai.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID40696098
PMCPMC12284149

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.