ReviewArthroscopy, sports medicine, and rehabilitation2025
Spin is Prevalent in Abstracts of Systematic Reviews and Meta-analyses of Anterolateral Ligament Reconstruction and Lateral Extra-Articular Tenodesis.
Review in Arthroscopy, sports medicine, and rehabilitation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Three in every four systematic reviews and meta-analyses on concomitant anterior cruciate ligament reconstruction and anterolateral complex procedures present at least one type of spin in the abstract.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2026Pooled it
- Evaluation of Spin Bias in the Use of Platelet-Rich Plasma for Augmentation of Meniscal Tear Repairs.Orthopaedic journal of sports medicine · 2026Review
- Reporting Bias Is Highly Prevalent in Systematic Reviews and Meta-Analyses Related to Medial Patellofemoral Ligament Reconstruction.Arthroscopy, sports medicine, and rehabilitation · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: To analyze the incidence of spin in the abstracts of systematic reviews and meta-analyses investigating anterolateral ligament augmentation or lateral extra-articular tenodesis as treatment for anterior cruciate ligament injuries. Method: Studies were identified using the Preferred Reporting Items for Systematic Reviews and Meta Analysis guidelines searching PubMed, Web of Science, and Scopus in November 2023. The abstracts were graded for the incidence of the 15 most common types of spin, and full texts were reviewed for AMSTAR 2 classification. General demographics were identified, including study title, author, journal of publication, year of publication, level of evidence, study design, and funding. Fisher's exact test was used to compare study metrics. Results: Twenty-two studies met final inclusion criteria. Thirteen studies were related to LET, and 12 were related to ALL with three relevant to both. At least 4 forms of spin were observed in the studies with a maximum of 11 observed. Spin type 9 ("Conclusion claims the beneficial effect of the experimental treatment despite reporting bias.") was the overall most reported across all studies with 21 out of 22 studies reporting it. There was a significant correlation between the incidence of spin type 10 ("Authors hide or do not present any conflict of interest.") with lower Level of Evidence ( Conclusions: Spin is highly prevalent in abstracts of systematic reviews and meta-analyses investigating anterolateral ligament augmentation and lateral extra-articular tenodesis reconstruction. Level of Evidence: Level IV, systematic review of Level III-IV studies.
Identifiers
What OpenQuestion holds
Registered trials
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.