Evidence map›Paper›PMID 38068443›Full record

ArticleJournal of clinical medicine2023

Better Detection of Peripheral Arterial Disease with Toe-Brachial Index Compared to Ankle-Brachial Index among Taiwanese Patients with Diabetic Kidney Disease.

Chia-Wei Chang, Ya-Wen Sung, Yu-Ting Huang, Yong-Chuan Chung, Mei-Yueh Lee

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 1 country.

Chia-Wei ChangSchool of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan.ORCID 0009-0004-3768-2735
Ya-Wen SungDepartment of Nursing, Kaohsiung Medical University Hospital, Kaohsiung 807, Taiwan.
Yu-Ting HuangStatistical Analysis Laboratory, Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan.ORCID 0000-0002-7056-5686
Yong-Chuan ChungDepartment of Business Management, National Sun Yat-Sen University, Kaohsiung 803, Taiwan.
Mei-Yueh LeeSchool of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan.
Kaohsiung Medical University · TWNational Sun Yat-sen University · TW

Funding

Kaohsiung Medical University Chung-Ho Memorial Hospital KMUH-110-0M16 and KMUH-108-8R19.
6 · The paper itself

Abstract

backgroundAnkle-brachial index (ABI) is a simple method for diagnosing peripheral artery disease (PAD) but has limited reliability in patients with diabetes mellitus (DM) because of medial artery calcification. Our study aims to investigate whether the toe brachial index (TBI) or the cardio-ankle vascular index (CAVI) has a better detection over the ABI for diagnosing PAD in diabetic kidney disease (DKD). MATERIALS AND

methodsA cohort of 368 patients (mean age 68.59 ± 13.14 years, 190 males and 178 females) with type 2 DM underwent ABI, TBI, and CAVI measurements at our outpatient clinic.

resultsOf all enrolled patients, the TBI is significant in evaluating PAD, especially in patients whose chronic kidney disease (CKD) stage 3a with adjusted odds ratio (AOR) = 6.50, 95% confidence interval (CI) 1.63-25.97,

conclusionTBI has a better yield of detection of PAD compared to ABI among Taiwanese patients with DKD. CAVI may play a role in the early stage of DKD.

Indexed as

ankle-branchial indexcardio-ankle vascular indexdiabetic kidney diseaseperipheral artery diseasetoe-branchial index

Identifiers

PMID38068443
PMCPMC10707373
OpenAlexW4389144292

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.