Evidence map›Paper›PMID 42340939›Full record

ArticlePloS one2026

Risk factors associated with diabetic foot amputation: A retrospective study from a tertiary hospital in Central Malaysia.

Sanjiv Rampal, Claudia Abreu Lopes, Parichehr Hadi, Vasantha Kumari Neela

Abstract read
In one paragraph

Article in PloS one, 2026. 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
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.

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.

Sanjiv RampalSchool of Medicine, International Medical University, Seremban, Malaysia.ORCID https://orcid.org/0000-0001-7047-0903
Claudia Abreu LopesInternational Institute for Global Health, United Nations University, Kuala Lumpur, Malaysia.ORCID https://orcid.org/0000-0002-2645-0224
Parichehr HadiDepartment of Orthopaedics, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Malaysia.
Vasantha Kumari NeelaDepartment of Medical Microbiology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus continues to escalate as a major global health crisis, with diabetic foot infection (DFI) remaining one of the most serious and preventable complications. Despite advances in multidisciplinary care, amputation rates remain high, particularly in low- and middle-income settings. This retrospective study identifies key predictors associated with the level of amputation; major (above the knee) versus minor (at or below the knee) among patients with DFI following surgical decision-making. Electronic medical records of 434 patients admitted with DFI to a tertiary care hospital in Central Malaysia between January 2010 and December 2019 were analysed. Minor amputations accounted for 70.7% of cases, while major amputations comprised the remainder. Most patients (63.8%) presented with advanced disease, with Wagner grade 4 being the most prevalent (40.3%). Binary logistic regression analysis was employed to determine independent predictors of amputation level. Increasing age (OR = 1.06, p = .013) and higher Wagner classification (OR = 15.16, p < .001) emerged as significant independent predictors of major amputation. These results highlight the need for timely intervention and aggressive limb-salvage strategies in high-risk groups.

Indexed as

Amputation, SurgicalDiabetic FootAgedFemaleHumansMalaysiaMaleMiddle AgedRetrospective StudiesRisk FactorsTertiary Care Centers

Identifiers

PMID42340939
PMCPMC13293416

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.