Evidence map›Paper›PMID 37003536›Full record

Observational studyIndian heart journal

Prevalence and predictors of lower extremity atherosclerotic disease amongst high-risk patients using ankle brachial index.

Bishav Mohan, Gautam Singal, Adesh Kumar Singh, Bhupinder Singh, Ankur Singla, Juniali Hatwal, Aditya Uppal, Rohit Tandon, Gurbhej Singh, Abhishek Goyal and 5 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Indian heart journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

15 authors at 3 institutions in 1 country.

Bishav MohanDepartment of Cardiology, Dayanand Medical College and Hospital, Ludhiana, 141001, India.
Gautam SingalDepartment of Cardiology, Dayanand Medical College and Hospital, Ludhiana, 141001, India.
Adesh Kumar SinghDepartment of Cardiology, Dayanand Medical College and Hospital, Ludhiana, 141001, India.
Bhupinder SinghDepartment of Cardiology, All India Institute of Medical Sciences, Bathinda, Punjab, 151001, India.
Ankur SinglaDepartment of Cardiology, Dayanand Medical College and Hospital, Ludhiana, 141001, India.
Juniali HatwalDepartment of Internal Medicine, Advanced Cardiac Centre, Post Graduate Institute of Medical Education & Research, Chandigarh, 160012, India.
Aditya UppalDepartment of Cardiology, Dayanand Medical College and Hospital, Ludhiana, 141001, India.
Rohit TandonDepartment of Cardiology, Dayanand Medical College and Hospital, Ludhiana, 141001, India.
Gurbhej SinghDepartment of Cardiology, Dayanand Medical College and Hospital, Ludhiana, 141001, India.
Abhishek GoyalDepartment of Cardiology, Dayanand Medical College and Hospital, Ludhiana, 141001, India.
Shibba Takkar ChhabraDepartment of Cardiology, Dayanand Medical College and Hospital, Ludhiana, 141001, India.
Naved AslamDepartment of Cardiology, Dayanand Medical College and Hospital, Ludhiana, 141001, India.
Ambuj RoyDepartment of Cardiology, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India.
Gurpreet Singh WanderDepartment of Cardiology, Dayanand Medical College and Hospital, Ludhiana, 141001, India.
Akash BattaDepartment of Cardiology, Dayanand Medical College and Hospital, Ludhiana, 141001, India. Electronic address: akashbatta02@gmail.com.
Dayanand Medical College & Hospital · INAll India Institute of Medical Sciences · INPost Graduate Institute of Medical Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe prevalence of lower extremity artery disease (LEAD) continues to increase worldwide. This is expected to translate into logarithmic rise in lower-limb amputations especially in the developing world. Majority of patients suffering from LEAD remain asymptomatic until late and are vulnerable to limb-threatening complications unless actively screened and treated.

methodsThis was a prospective, single-center, observational study to determine the prevalence and predictors of LEAD. Patients with known atherosclerotic vascular disease (but not known LEAD) or those at risk were enrolled. All underwent ankle brachial index (ABI) measurement as per the standard protocol. A threshold of ABI ≤0.90 was taken to diagnose LEAD.

resultsA total of 1000 patients were enrolled. The mean age of the group was 61.4 ± 10.0 years and the prevalence of LEAD was 10.2%. Amongst those who had LEAD, the majority of patients (69.6%) had no symptoms. The prevalence of LEAD in diabetic population in our study was 13.2% and it was 30.9% in coronary artery disease patients . Factors independently linked to LEAD on regression analysis included advanced age, presence of diabetes, smoking history, lower serum HDL and a lower ejection fraction.

conclusionsThe vast majority of patients suffering from LEAD are asymptomatic. Early diagnoses and institution of appropriate medical and physical therapy can prevent excess morbidity and mortality due to LEAD. Factors independently linked to LEAD are advanced age, presence of diabetes, smoking history, lower serum HDL and a lower ejection fraction. The presence of either of these should signal undertaking of appropriate steps to unmask underlying LEAD.

Indexed as

AtherosclerosisDiabetes MellitusPeripheral Arterial DiseaseAgedAnkle Brachial IndexHumansLower ExtremityMiddle AgedPrevalenceProspective StudiesRisk FactorsAnkle brachial indexAtherosclerotic vascular diseaseLimb ischemiaLower extremity artery disease

Identifiers

PMID37003536
PMCPMC10258367
OpenAlexW4361249137

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.