Evidence map›Paper›PMID 38922556›Full record

ReviewSports medicine (Auckland, N.Z.)2024

Judgement and Decision Making in Clinical and Return-to-Sports Decision Making: A Narrative Review.

Kate K Yung, Clare L Ardern, Fabio R Serpiello, Sam Robertson

Abstract readReview
In one paragraph

Review in Sports medicine (Auckland, N.Z.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. 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

4 authors.

Kate K YungInstitute for Health and Sport, Victoria University, Melbourne, Australia. Kate.yungky@gmail.com.ORCID 0000-0003-1906-4111
Clare L ArdernSport and Exercise Medicine Research Centre, La Trobe University, Melbourne, Australia.ORCID 0000-0001-8102-3631
Fabio R SerpielloInstitute for Health and Sport, Victoria University, Melbourne, Australia.ORCID 0000-0001-8919-3053
Sam RobertsonInstitute for Health and Sport, Victoria University, Melbourne, Australia.ORCID 0000-0002-8330-0011

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Making return-to-sport decisions can be complex and multi-faceted, as it requires an evaluation of an individual's physical, psychological, and social well-being. Specifically, the timing of progression, regression, or return to sport can be difficult to determine due to the multitude of information that needs to be considered by clinicians. With the advent of new sports technology, the increasing volume of data poses a challenge to clinicians in effectively processing and utilising it to enhance the quality of their decisions. To gain a deeper understanding of the mechanisms underlying human decision making and associated biases, this narrative review provides a brief overview of different decision-making models that are relevant to sports rehabilitation settings. Accordingly, decisions can be made intuitively, analytically, and/or with heuristics. This narrative review demonstrates how the decision-making models can be applied in the context of return-to-sport decisions and shed light on strategies that may help clinicians improve decision quality.

Indexed as

Decision MakingJudgmentReturn to SportAthletic InjuriesClinical Decision-MakingHumans

Identifiers

PMID38922556
PMCPMC11329672

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.