Evidence map›Paper›PMID 40162265›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Issues regarding the Indexing of Adaptive Clinical Trial Articles.

Neil R Smalheiser, Andrew Shahidehpour, Ang Michael Troy

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Neil R SmalheiserDepartment of Psychiatry, University Of Illinois College of Medicine, Chicago, IL 60612 USA.ORCID 0000-0003-1079-3406
Andrew ShahidehpourDepartment of Psychiatry, University Of Illinois College of Medicine, Chicago, IL 60612 USA.ORCID 0000-0002-6703-9677
Ang Michael TroyDepartment of Psychiatry, University Of Illinois College of Medicine, Chicago, IL 60612 USA.

Funding

Automated Indexing for Publication Types and Study DesignsR01LM014292 · NLM · UNIVERSITY OF ILLINOIS AT CHICAGO · PI SMALHEISER, NEIL R · 2023 to 2025
$948k
NLM NIH HHS R01 LM014292
6 · The paper itself

Abstract

Accurate, consistent indexing of biomedical publications is important for retrieving and evaluating evidence, that in turn can affect clinical decisions, evidence syntheses and research directions. Adaptive trials are arguably among the most complex clinical trial designs, being defined as trials in which the allocation or intervention given to subjects is not fixed in advance, but can vary according to the responses or characteristics of the participants. In the course of preparing to tackle the automated indexing of adaptive clinical trial articles, we manually examined the PubMed articles bearing the Adaptive Clinical Trial publication type to date and identified a surprisingly high proportion of erroneous and questionable indexing decisions. If one agrees that each article should be indexed according to its own study design (rather than the study design of the larger trial that it is linked to), then 46.7% of the articles were mis-assigned. If we consider that articles which presented partial results (e.g., one arm of a multi-arm trial) might be broadly deserving of being indexed as adaptive trials, then the adjusted error rate would still be 24.2%. These errors are worth discussing in detail because they have more general lessons to teach us - not only for biomedical end-users who want to utilize indexing terms for efficient retrieval, but for indexers who need to annotate articles accurately and consistently.

Indexed as

article indexingBibliographic databasesbiomedical informaticsclinical trialsPubMedtrial design

Identifiers

PMID40162265
PMCPMC11952639

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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 Socratic graph.