Evidence map›Paper›PMID 36928508›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2023

Identifying the mechanism of missingness for unspecified diabetic retinopathy disease severity in the electronic health record: an IRIS® Registry analysis.

Meghan Hatfield, Thai Hien Nguyen, Richard Chapman, Alayna C Myrick, Theodore Leng, Michael Mbagwu, Shrujal Baxi, Aracelis Z Torres, Durga S Borkar

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 22% of its field
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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. A novel hyperparameter search approach for accuracy and simplicity in disease prediction risk scoring.Journal of the American Medical Informatics Association : JAMIA · 2024
    Article
  3. Article
  4. 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

9 authors at 2 institutions in 1 country.

Meghan HatfieldVerana Health, San Francisco, California, USA.
Thai Hien NguyenVerana Health, San Francisco, California, USA.
Richard ChapmanVerana Health, San Francisco, California, USA.
Alayna C MyrickVerana Health, San Francisco, California, USA.
Theodore LengVerana Health, San Francisco, California, USA.
Michael MbagwuVerana Health, San Francisco, California, USA.
Shrujal BaxiVerana Health, San Francisco, California, USA.
Aracelis Z TorresVerana Health, San Francisco, California, USA.ORCID 0000-0001-8576-9887
Durga S BorkarVerana Health, San Francisco, California, USA.
Stanford University · USDuke University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Observational studies of diabetic retinopathy (DR) using electronic health record data often determine disease severity using International Classification of Disease (ICD) codes. We investigated the mechanism of missingness for DR severity based on ICD coding using the American Academy of Ophthalmology IRIS® Registry. We included all patient encounters in the registry with a DR ICD-9 or ICD-10 code between January 1, 2014 and June 30, 2021. Demographic, clinical, and practice-level characteristics were compared between encounters with specified and unspecified disease severity. Practices were divided into quartiles based on the proportion of clinical encounters with unspecified DR severity. Encounters with unspecified disease severity were associated with significantly older patient age, better visual acuity, and lower utilization of ophthalmic procedures. Higher volume practices and retina specialist practices had lower proportions of clinical encounters with unspecified disease severity. Results strongly suggest that DR disease severity related to ICD coding is missing not at random.

Indexed as

Diabetes MellitusDiabetic RetinopathyElectronic Health RecordsHumansPatient AcuityRegistriesRetinaRetrospective Studiesdiabetic retinopathyelectronic health recordmissingnessregistry

Identifiers

PMID36928508
PMCPMC10198532
OpenAlexW4327546600

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.