Evidence map›Paper›PMID 42652700›Full record

ArticleJournal of clinical medicine2026

From Medical Records to AI-Ready Datasets: A Practical Guide for Clinical Researchers.

Catalin Anghel, Andreea Alexandra Anghel, Marian Viorel Craciun, Simona Moldovanu, Adina Cocu, Diana-Elena Vulpe, Calina Maier, Vasile Potop, Christiana Diana Maria Dragosloveanu, Constantin Adrian Andrei and 2 more

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2026. 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

12 authors.

Catalin AnghelDepartment of Computer Science and Information Technology, "Dunărea de Jos" University of Galati, Științei St. 2, 800146 Galati, Romania.ORCID 0000-0002-1849-3072
Andreea Alexandra AnghelDepartment of Computer Science and Information Technology, "Dunărea de Jos" University of Galati, Științei St. 2, 800146 Galati, Romania.ORCID 0009-0008-2537-6713
Marian Viorel CraciunDepartment of Computer Science and Information Technology, "Dunărea de Jos" University of Galati, Științei St. 2, 800146 Galati, Romania.ORCID 0009-0006-9970-2556
Simona MoldovanuDepartment of Computer Science and Information Technology, "Dunărea de Jos" University of Galati, Științei St. 2, 800146 Galati, Romania.ORCID 0000-0002-5934-329X
Adina CocuDepartment of Computer Science and Information Technology, "Dunărea de Jos" University of Galati, Științei St. 2, 800146 Galati, Romania.ORCID 0000-0003-0935-4713
Diana-Elena VulpeFaculty of Medicine, The "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.ORCID 0009-0009-8937-7608
Calina MaierFaculty of Medicine, The "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.ORCID 0000-0002-0982-9291
Vasile PotopFaculty of Dentistry, The "Carol Davila" University of Medicine and Pharmacy, 020021 Bucharest, Romania.ORCID 0000-0002-2049-6694
Christiana Diana Maria DragosloveanuFaculty of Dentistry, The "Carol Davila" University of Medicine and Pharmacy, 020021 Bucharest, Romania.ORCID 0000-0001-5948-233X
Constantin Adrian AndreiFaculty of Medicine, The "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.ORCID 0000-0001-5595-1135
Serban DragosloveanuFaculty of Medicine, The "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.ORCID 0000-0001-7403-1684
Cristian ScheauFaculty of Medicine, The "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.ORCID 0000-0001-7676-6393

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

clinical AI-readinessclinical predictiondata collectiondata dictionarymachine learningmedical datasetsmedical imagingminimum common datasetmissing dataNaN values

Identifiers

PMID42652700
PMCPMC13512966

What OpenQuestion holds

Textmetadata
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.