Evidence map›Paper›PMID 41008424›Full record

ArticleHealthcare (Basel, Switzerland)2025

Assessing the Impact of Computable Type 2 Diabetes Phenotypes on Predicting Healthcare Utilization Using Electronic Health Records and Administrative Claims.

Priyanka D Sood, Star Liu, Chintan Pandya, Hadi Kharrazi

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Priyanka D SoodJohns Hopkins School of Public Health, Baltimore, MD 21205, USA.
Star LiuJohns Hopkins School of Medicine, Johns Hopkins University, Baltimore, MD 21205, USA.
Chintan PandyaJohns Hopkins School of Public Health, Baltimore, MD 21205, USA.ORCID 0000-0003-4133-2514
Hadi KharraziJohns Hopkins School of Public Health, Baltimore, MD 21205, USA.

Funding

Johns Hopkins Training Program in Biomedical Informatics and Data ScienceT15LM013979 · NLM · JOHNS HOPKINS UNIVERSITY · PI CHRISTOPHER G CHUTE, Hadi Kharrazi · 2022 to 2026
$2.2M
NLM NIH HHS T15 LM013979
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

computational phenotypeshealthcare utilizationpopulation health managementpredictive performance variationrisk stratificationtype 2 diabetes

Identifiers

PMID41008424
PMCPMC12469837

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.