Evidence map›Paper›PMID 40562534›Full record

ArticleVascular specialist international2025

Risk Screening, Early Detection, and Management of Acute Popliteal Artery Thrombosis Following Total Knee Arthroplasty: Three Case Reports.

Vikas Kulshrestha, Pardeep Kumar, Anjan Prabhakara, Munish Sood, Soma Kulshrestha, Manu Mohan

Abstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Vascular specialist international, 2025. 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
–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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Vikas KulshresthaDepartment of Orthopaedics, Command Hospital Air Force, Bengaluru, India.ORCID https://orcid.org/0000-0002-6996-9464
Pardeep KumarDepartment of Orthopaedics, Command Hospital Air Force, Bengaluru, India.ORCID https://orcid.org/0000-0003-2835-7733
Anjan PrabhakaraDepartment of Orthopaedics, Command Hospital Air Force, Bengaluru, India.ORCID https://orcid.org/0000-0002-8630-1167
Munish SoodDepartment of Orthopaedics, Base Hospital Lucknow, Lucknow, India.ORCID https://orcid.org/0000-0003-2776-4572
Soma KulshresthaDepartment of Management Studies, Symbiosis Centre for Management Studies, Symbiosis International (Deemed University), Pune, India.ORCID https://orcid.org/0000-0001-7491-8031
Manu MohanDepartment of Orthopaedics, Armed Forces Medical College, Pune, India.ORCID https://orcid.org/0009-0008-9619-3279

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute limb ischemia (ALI) is an infrequent but potentially devastating complication that can occur after total knee arthroplasty (TKA). Currently, there is a lack of structured protocols for screening, prevention, early detection, and management of ALI in the context of TKA. With the increasing volume of TKAs performed, some senior surgeons have encountered such complications and formulated protocols and clinical care pathways for managing ALI following TKA. This article presents three cases of acute popliteal artery thrombosis (PAT) after TKA, each with different clinical presentations and management strategies, encountered by a single senior arthroplasty surgeon. Although rare, PAT remains a serious complication of TKA. In today's high-volume surgical practice, arthroplasty surgeons should ensure careful risk screening and implement preventive strategies. Protocols must be implemented to timely detect and promptly intervene the PAT to prevent adverse outcomes.

Indexed as

Early diagnosisPatient care managementPopliteal arteryThrombosisTotal knee arthroplasty

Identifiers

PMID40562534
PMCPMC12198114

What OpenQuestion holds

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LicenceCC BY-NC
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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.