Evidence map›Paper›PMID 38869838›Full record

ArticleJournal of comparative effectiveness research2024

Evaluating the robustness of an AI pathfinder application on eligibility criteria in multiple myeloma trials using real-world data and historical trials.

Rana Jreich, Hao Zhang, Zhaoling Meng, Fei Wang

Abstract read
In one paragraph

Article in Journal of comparative effectiveness research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. AI-based augmentation of oncology clinical trials.Nature reviews. Clinical oncology · 2026
    Review
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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.

Rana JreichR&D, Evidence Generation & Decision Sciences, Sanofi, France.ORCID 0000-0002-0607-2801
Hao ZhangDepartment of Population Health Sciences, Weill Cornell Medical College, Cornell University, USA.
Zhaoling MengR&D, Evidence Generation & Decision Sciences, Sanofi, USA.
Fei WangDepartment of Population Health Sciences, Weill Cornell Medical College, Cornell University, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Multiple MyelomaPatient SelectionArtificial IntelligenceClinical Trials as TopicEligibility DeterminationHumansAI pathfindereligibility criteriamultiple myelomaRCT replicationreal-world evidence

Identifiers

PMID38869838
PMCPMC11225521

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.