Evidence map›Paper›PMID 37693832›Full record

ArticlePrinciples and practice of clinical research (2015)2023

Editorial - The Use of Large Language Models in Science: Opportunities and Challenges.

Bassel Almarie, Paulo E P Teixeira, Kevin Pacheco-Barrios, Carlos Augusto Rossetti, Felipe Fregni

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Principles and practice of clinical research (2015), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Unequal Scientific Recognition in the Age of LLMs.Findings of ACL. EMNLP. Conference on Empirical Methods in Natural Language Processing · 2025
    Article
  4. Rapid Agrichemical Inventory via Video Documentation and Large Language Model Identification.International journal of environmental research and public health · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. 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

5 authors.

Bassel AlmarieNeuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Paulo E P TeixeiraNeuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Kevin Pacheco-BarriosNeuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Carlos Augusto RossettiNeuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Felipe FregniNeuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.

Funding

Pragmatic Trial of Remote tDCS and Somatosensory Training for Phantom Limb Pain with Machine Learning to Predict Treatment ResponseR01HD082302 · NICHD · SPAULDING REHABILITATION HOSPITAL · PI Felipe Fregni · 2015 to 2026
$4.7M
NICHD NIH HHS R01 HD082302
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID37693832
PMCPMC10485814

What OpenQuestion holds

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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.