Evidence map›Paper›PMID 41058837›Full record

ReviewCureus2025

Reframing Recovery: Fantasy Sports Metrics as Scalable Tools for Measuring Post-injury Athletic Performance.

William J Gadbois, Hunter Cohn, Rahul Vaidya

Abstract readReview
In one paragraph

Review in Cureus, 2025. 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
–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

2 citing papers in PubMed.

  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

3 authors.

William J GadboisMedical Education, Wayne State University School of Medicine, Detroit, USA.
Hunter CohnMedical Education, Wayne State University School of Medicine, Detroit, USA.
Rahul VaidyaOrthopedic Surgery, Wayne State University Detroit Medical Center, Detroit, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While return to play has traditionally been the benchmark for evaluating athlete recovery after injury, it does not adequately capture whether athletes regain their prior level of performance. The concept of return to pre-injury performance (RPIP) offers a more meaningful measure but lacks a standardized approach for quantification across sports. This narrative review examined the literature using fantasy sports scores and wins above replacement (WAR) to evaluate post-injury performance among professional athletes and to assess their utility as foundations for RPIP. A targeted PubMed search identified studies that used fantasy scores or WAR to quantify post-injury performance in the National Football League (NFL), National Basketball Association (NBA), National Hockey League (NHL), and Major League Basketball (MLB), requiring stratification by injury and use of publicly available scoring systems. Six studies encompassing 15 sport-specific cohorts and 785 athletes met the inclusion criteria. Fantasy metrics and WAR consistently reflected post-injury performance declines in 14 of 15 cohorts across different sports and injury types, despite variation in study design, scoring systems, and follow-up windows. However, only two studies explicitly referenced RPIP. Fantasy scores and WAR may serve as scalable tools for quantifying post-injury performance and provide a preliminary framework for standardizing RPIP across sports. Their public availability, longitudinal structure, and comprehensiveness make them uniquely suited for research, clinical, and operational use. Formalizing RPIP around these metrics could significantly enhance recovery evaluation and decision-making in sports medicine.

Indexed as

fantasy sportsinjury recoverypost-injury performanceprofessional sports injuriesreturn to pre-injury performance

Identifiers

PMID41058837
PMCPMC12498200

What OpenQuestion holds

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LicenceCC BY
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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.