Evidence map›Paper›PMID 31421018›Full record

ArticleArthritis care & research2020

Performance of Administrative Algorithms to Identify Interstitial Lung Disease in Rheumatoid Arthritis.

Bryant R England, Punyasha Roul, Tina D Mahajan, Namrata Singh, Fang Yu, Harlan Sayles, Grant W Cannon, Brian C Sauer, Joshua F Baker, Jeffrey R Curtis and 1 more

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Arthritis care & research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

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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

11 authors at 6 institutions in 1 country.

Bryant R EnglandVA Nebraska-Western Iowa Health Care System and University of Nebraska Medical Center, Omaha.ORCID 0000-0002-9649-3588
Punyasha RoulUniversity of Nebraska Medical Center, Omaha.
Tina D MahajanUniversity of Nebraska Medical Center, Omaha.
Namrata SinghCenter for Comprehensive Access Delivery Research, Iowa City VA, and University of Iowa Hospitals and Clinics, Iowa City.ORCID 0000-0001-7149-363X
Fang YuUniversity of Nebraska Medical Center, Omaha.
Harlan SaylesUniversity of Nebraska Medical Center, Omaha.
Grant W CannonVA Salt Lake City and University of Utah, Salt Lake City.ORCID 0000-0001-6640-9173
Brian C SauerVA Salt Lake City and University of Utah, Salt Lake City.
Joshua F BakerCorporal Michael J. Crescenz VA and University of Pennsylvania, Philadelphia.
Jeffrey R CurtisUniversity of Alabama at Birmingham, Birmingham.ORCID 0000-0002-8907-8976
Ted R MikulsVA Nebraska-Western Iowa Health Care System and University of Nebraska Medical Center, Omaha.ORCID 0000-0002-0897-2272
University of Nebraska Medical Center · USUniversity of Utah · USVA Nebraska Western Iowa Health Care System · USPhiladelphia VA Medical Center · USUniversity of Alabama at Birmingham · USUniversity of Iowa Hospitals and Clinics · US

Funding

Tracking and Evaluation CoreU54GM115458 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI GUDA, CHITTIBABU · 2016 to 2025
$42.8M
The Effects of Urate Lowering Therapy on Inflammation, Endothelial function, andP50AR060772 · NIAMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI TERKELTAUB, ROBERT A. · 2012 to 2021
$12.8M
UNMC Summer Undergraduate Alcohol Research ProgramR25AA020818 · NIAAA · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI Kristina L Bailey · 2012 to 2026
$931k
Adipokines as Biomarkers of Cachexia and High-Risk Rheumatoid ArthritisI01CX001703 · VA · PHILADELPHIA VA MEDICAL CENTER · PI BAKER, JOSHUA F. · 2019 to 2023
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ShEEP Request for a Perkin Elmer Quantum GX2 Micro CT Imaging SystemIS1BX004790 · VA · OMAHA VA MEDICAL CENTER · PI WYATT, TODD A · 2019 to 2019
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BLRD VA IS1 BX004790CSRD VA I01 CX001703NIAAA NIH HHS R25 AA020818NIAMS NIH HHS P50 AR060772NIGMS NIH HHS U54 GM115458
6 · The paper itself

Abstract

objectiveTo determine the performance of administrative-based algorithms for classifying interstitial lung disease (ILD) complicating rheumatoid arthritis (RA).

methodsParticipants in a large, multicenter RA registry were screened for ILD using codes from the International Classification of Diseases, Ninth Revision (ICD-9) and the ICD-10. Medical record review confirmed ILD among participants screening positive and a random sample of those screening negative. ICD and procedure codes, provider specialty, and dates were extracted from Veterans Affairs administrative data to construct ILD algorithms. Performance of these algorithms against medical record review was assessed by sensitivity, specificity, positive predictive value (PPV), negative predictive value, and kappa using inverse probability weighting to account for sampling methods.

resultsMedical records of 536 RA patients were reviewed, confirming 182 (stringent definition) and 203 (relaxed definition) cases of ILD. Initially, we identified ≥2 ICD codes from inpatient or outpatient encounters as optimal discriminating factors (specificity 96.0%, PPV 65.5%; κ = 0.70). Subsequently, we constructed a set of ICD-9 and ICD-10 codes that improved algorithm specificity (specificity 96.8%, PPV 69.5%; κ = 0.72). Algorithms that included a pulmonologist diagnosis or chest computed tomography plus pulmonary function testing or lung biopsy had improved performance (specificity 98.0%, PPV 77.4%; κ = 0.75). PPV increased with exclusion of other ILD causes (78.5%) in comparison with the relaxed ILD definition (82.4%) and in sensitivity analyses (83.4-86.3%). Gains in specificity and PPV with greater algorithm requirements were accompanied by declines in sensitivity.

conclusionAdministrative algorithms with optimal combinations of ICD codes, provider specialty, diagnostic testing, and exclusion of other ILD causes accurately classify ILD in RA.

Indexed as

International Classification of DiseasesRegistriesAgedAlgorithmsArthritis, RheumatoidFemaleHumansLung Diseases, InterstitialMaleMiddle AgedPulmonologistsRetrospective Studies

Identifiers

PMID31421018
PMCPMC7024644
OpenAlexW2968866614

What OpenQuestion holds

Textmetadata
LicenceTDM
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.