Evidence map›Paper›PMID 38089177›Full record

ArticleOcular oncology and pathology2023

Predictive Value of the International Classification of Diseases, 9th Revision Codes for Identifying Ocular Oncology Diagnoses.

Kenny Y Wang, Timothy T Xu, Launia J White, Lauren A Dalvin

Open access · bronzeAbstract read
In one paragraph

Article in Ocular oncology and pathology, 2023. 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, top 65% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

4 authors at 2 institutions in 1 country.

Kenny Y WangAlix School of Medicine, Mayo Clinic, Rochester Minnesota, Scottsdale, AZ, USA.
Timothy T XuDepartment of Ophthalmology, Mayo Clinic, Rochester, MN, USA.
Launia J WhiteDepartment of Health Sciences Research, Mayo Clinic, Jacksonville, FL, USA.
Lauren A DalvinDepartment of Ophthalmology, Mayo Clinic, Rochester, MN, USA.
Mayo Clinic in Arizona · USMayo Clinic in Florida · US

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Felicity Enders · 1985 to 2026
$151.3M
Institutional Career Development CoreKL2TR002379 · NCATS · MAYO CLINIC ROCHESTER · PI NILUFER ERTEKIN-TANER · 2017 to 2026
$14.9M
Rochester Epidemiology ProjectR01AG034676 · NIA · MAYO CLINIC ROCHESTER · PI ROCCA, WALTER A, ST SAUVER, JENNIFER LYNN · 2010 to 2019
$9.5M
Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology ProjectR33AG058738 · NIA · MAYO CLINIC ROCHESTER · PI LEBRASSEUR, NATHAN K, OLSON, JANET E · 2020 to 2022
$2.4M
NCATS NIH HHS KL2 TR002379NCI NIH HHS P30 CA015083NIA NIH HHS R01 AG034676NIA NIH HHS R33 AG058738
6 · The paper itself

Abstract

Introduction: The aim of this study was to determine the predictive value of International Classification of Diseases, 9th Revision (ICD-9) billing codes for identifying ocular oncology diagnoses. Methods: Population-based retrospective cohort study of all Olmsted County, Minnesota residents with any ocular neoplasm-related ICD-9 code from January 1, 2006 to October 1, 2015. All medical records were reviewed for confirmation of ocular neoplasm. Diagnoses with ≥5 cases confirmed via a medical record review were compared to corresponding ICD-9 codes. Main outcome measures included positive predictive value (PPV), negative predictive value (NPV), sensitivity, and specificity of ICD-9 codes. Results: Among 3,932 subjects with ≥1 ocular neoplasm-related ICD-9 code, 21 diagnoses met study criteria. The most frequent intraocular, extraocular/orbital, and ocular surface diagnoses were choroidal nevus ( Conclusion: There was a wide variation in a predictive value of ocular neoplasm-related ICD-9 billing codes, which suggests that ocular oncology-related claims data alone may overestimate the true number of ocular oncology diagnoses.

Indexed as

Claims dataICD-9ICD-OInternational Classification of Diseases, 9th RevisionInternational Classification of Diseases for OncologyNegative predictive valueOcular oncologyPositive predictive valueSensitivitySpecificity

Identifiers

PMID38089177
PMCPMC10712979
OpenAlexW4388195581

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.