Evidence map›Paper›PMID 40134812›Full record

ArticleOrthopedic reviews2025

Lisfranc Joint Injury: A Comprehensive Review of Rehabilitation Duration in Basketball Athletes.

Hashim Ali, Mahfujul Haque, Ashar Ahmed, Fahad Malik, Mohammad Zia

Abstract read
In one paragraph

Article in Orthopedic reviews, 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

5 authors.

Hashim AliMichigan State University.
Mahfujul HaqueMichigan State University.
Ashar AhmedMichigan State University.
Fahad MalikMichigan State University.
Mohammad ZiaMichigan State University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Lisfranc injuries, characterized by abnormal forces on the tarsometatarsal (TMT) joints in the feet, are common foot injuries in athletes. This study aims to evaluate the outcomes of Lisfranc injuries in advanced basketball athletes, including retirement rates and time to return (TTR) to play. Methods: A retrospective analysis was conducted on advanced basketball athletes who suffered Lisfranc injuries. Data was collected from reputable news sources and cross-referenced for accuracy. The inclusion criteria encompassed multiple basketball leagues, including the NBA, WNBA, NCAA Men's, and NCAA Women's. The study evaluated the number of players who returned to play, their TTR, and the incidence of Lisfranc injuries in each league. Results: Out of the 22 athletes included in the study, 73% (n=16) returned to play after a Lisfranc injury, while 27% retired from the sport. The average TTR for the athletes who resumed playing was 307 days (10.09 months). The average age of players who returned was 24.6 years, with the NBA having the highest average age of 29.5 years. The incidence of Lisfranc injuries varied across leagues, with the NFL having the highest incidence over a specific time span. Discussion: The study highlights the significant impact of Lisfranc injuries within the NBA, with a substantial number of players opting for retirement after such injuries. The TTR for basketball athletes was longer compared to other sports, such as the NFL. The physical nature of football may explain the increased incidence of Lisfranc injuries in that sport. The rarity of Lisfranc injuries in basketball poses challenges in conducting statistical analyses, emphasizing the need for larger sample sizes and specific focus on basketball players in future research.

Indexed as

AthletesBasketballLisfranc InjurySports MedicineTarsometatarsal Joint

Identifiers

PMID40134812
PMCPMC11936334

What OpenQuestion holds

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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.