Evidence map›Paper›PMID 36568954›Full record

ArticleJournal of vascular surgery cases and innovative techniques2022

Deriving International Classification of Diseases, 9th and 10th revision, codes for identifying and following up patients with diabetic lower extremity ulcers.

Xavier P Fowler, Mark A Eid, J Aaron Barnes, Kunal S Mehta, Reed W Bratches, David Hu, Ella Goodney, Mark A Creager, Mark P Bonaca, Mark W Feinberg and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal of vascular surgery cases and innovative techniques, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 6 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

14 authors at 6 institutions in 1 country.

Xavier P FowlerDepartment of General Surgery, Veterans Affairs Medical Center, White River Junction, VT.
Mark A EidDepartment of General Surgery, Dartmouth-Hitchcock Medical Center, Lebanon, NH.
J Aaron BarnesSection of Vascular Surgery, Dartmouth-Hitchcock Medical Center, Lebanon, NH.
Kunal S MehtaSection of Vascular Surgery, Dartmouth-Hitchcock Medical Center, Lebanon, NH.
Reed W BratchesThe Dartmouth Institute, Lebanon, NH.
David HuGeisel School of Medicine at Dartmouth, Hanover, NH.
Ella GoodneyHeart and Vascular Center, Dartmouth-Hitchcock Medical Center, Lebanon, NH.
Mark A CreagerHeart and Vascular Center, Dartmouth-Hitchcock Medical Center, Lebanon, NH.
Mark P BonacaUniversity of Colorado Medical Center, Denver, CO.
Mark W FeinbergBrigham and Women's Hospital, Boston, MA.
Kayla O MooreDepartment of General Surgery, Dartmouth-Hitchcock Medical Center, Lebanon, NH.
Barbara GladdersHeart and Vascular Center, Dartmouth-Hitchcock Medical Center, Lebanon, NH.
David G ArmstrongSouthwestern Academic Limb Salvage Alliance, Department of Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA.
Philip P GoodneySection of Vascular Surgery, Dartmouth-Hitchcock Medical Center, Lebanon, NH.
Dartmouth–Hitchcock Medical Center · USBrigham and Women's Hospital · USDartmouth College · USDartmouth Institute for Health Policy and Clinical Practice · USUniversity of Colorado Boulder · USUniversity of Southern California · US

Funding

Improving the science of adherence reinforcement and safe mobility in people with diabetic foot ulcers using smart offloadingR01DK124789 · NIDDK · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ARMSTRONG, DAVID GEORGE, NAJAFI, BIJAN · 2021 to 2025
$2.0M
NIDDK NIH HHS R01 DK124789
6 · The paper itself

Abstract

Objective: Administrative claims data offer a rich data source for clinical research. However, its application to the study of diabetic lower extremity ulceration is lacking. Our objective was to create a widely applicable framework by which investigators might derive and refine the International Classification of Diseases, 9th and 10th revision (ICD-9 and ICD-10, respectively) codes for use in identifying diabetic, lower extremity ulceration. Methods: We created a seven-step process to derive and refine the ICD-9 and ICD-10 coding lists to identify diabetic lower extremity ulcers. This process begins by defining the research question and the initial identification of a list of ICD-9 and ICD-10 codes to define the exposures or outcomes of interest. These codes are then applied to claims data, and the rates of clinical events are examined for consistency with prior research and changes across the ICD-9 to ICD-10 transition. The ICD-9 and ICD-10 codes are then cross referenced with each other to further refine the lists. Results: Using this method, we started with 8 ICD-9 and 43 ICD-10 codes used to identify lower extremity ulcers in patients with known diabetes and peripheral arterial disease and examined the association of ulceration with lower extremity amputation. After refinement, we had 45 ICD-9 codes and 304 ICD-10 codes. We then grouped the codes into eight clinical exposure groups and examined the rates of amputation as a rudimentary test of validity. We found that the rate of lower extremity amputation correlated with the severity of lower extremity ulceration. Conclusions: We identified 45 ICD-9 and 304 ICD-10 ulcer codes, which identified patients at risk of amputation from diabetes and peripheral artery disease. Although further validation at the medical record level is required, these codes can be used for claims-based risk stratification for long-term outcomes assessment in the treatment of patients at risk of limb loss.

Indexed as

Administrative claims researchDiabeticInternational Classification of DiseasesUlcer

Identifiers

PMID36568954
PMCPMC9768238
OpenAlexW4306645240

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.