Evidence map›Paper›PMID 42798327›Full record

ArticleJAMIA open2026

medicalcoder: a unified and longitudinally aware framework for International Classification of Diseases code-based comorbidity assessment in R.

Peter E DeWitt, Seth Russell, James A Feinstein, Margaret N Rebull, Tellen D Bennett

Abstract read
In one paragraph

Article in JAMIA open, 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

5 authors.

Peter E DeWittDepartment of Biomedical Informatics, University of Colorado School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, United States.ORCID https://orcid.org/0000-0002-6391-0795
Seth RussellDepartment of Biomedical Informatics, University of Colorado School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, United States.ORCID https://orcid.org/0000-0002-2436-1367
James A FeinsteinAdult and Child Center for Outcomes Research and Delivery Science, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, United States.ORCID https://orcid.org/0000-0003-3074-8805
Margaret N RebullDepartment of Biomedical Informatics, University of Colorado School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, United States.ORCID https://orcid.org/0000-0003-0334-4223
Tellen D BennettDepartment of Biomedical Informatics, University of Colorado School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, United States.ORCID https://orcid.org/0000-0003-1483-4236

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Comorbidity algorithms derived from International Classification of Diseases (ICD) codes are central to risk adjustment and cohort characterization, but existing software inconsistently handles mixed ICD-9/10 data and typically operates at the encounter level. We developed Materials and Methods: Results: The Conclusions:

Indexed as

comorbidityInternational Classification of Diseases (ICD)longitudinal studiespediatricssoftware

Identifiers

PMID42798327
PMCPMC13612241

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.