Evidence map›Paper›PMID 37350926›Full record

ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2023

DETECT: Feature extraction method for disease trajectory modeling in electronic health records.

Pankhuri Singhal, Lindsay Guare, Colleen Morse, Anastasia Lucas, Marta Byrska-Bishop, Marie A Guerraty, Dokyoon Kim, Marylyn D Ritchie, Anurag Verma

Abstract read
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In one paragraph

Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Evaluation of trajectory analysis for disease risk assessment: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2026
    Article
  2. Review
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

9 authors.

Pankhuri SinghalDepartment of Genetics, University of Pennsylvania, Philadelphia, PA.
Lindsay GuareDepartment of Genetics, University of Pennsylvania, Philadelphia, PA.
Colleen MorseDepartment of Medicine, University of Pennsylvania, Philadelphia, PA.
Anastasia LucasDepartment of Genetics, University of Pennsylvania, Philadelphia, PA.
Marta Byrska-BishopNew York Genome Center, New York, NY.
Marie A GuerratyDepartment of Medicine, University of Pennsylvania, Philadelphia, PA.
Dokyoon KimDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Marylyn D RitchieDepartment of Genetics, University of Pennsylvania, Philadelphia, PA.
Anurag VermaDepartment of Medicine, University of Pennsylvania, Philadelphia, PA.

Funding

Training In Cardiovascular Physiology & PharmacologyT32HL007444 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Ju Chen, Robert Scott Ross · 1985 to 2026
$11.1M
UCSD PRIDE Faculty Development Program in Cardiovascular SciencesR25HL145817 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Robert Scott Ross, Joann Trejo · 2019 to 2026
$3.3M
NHLBI NIH HHS R25 HL145817NHLBI NIH HHS T32 HL007444
6 · The paper itself

Abstract

Modeling with longitudinal electronic health record (EHR) data proves challenging given the high dimensionality, redundancy, and noise captured in EHR. In order to improve precision medicine strategies and identify predictors of disease risk in advance, evaluating meaningful patient disease trajectories is essential. In this study, we develop the algorithm

Identifiers

PMID37350926
PMCPMC10283148

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Registered trials

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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.