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Record W2112801688 · doi:10.2106/jbjs.e.00370

Level of Evidence in Orthopaedic Journals

2005· article· en· W2112801688 on OpenAlexaff
William T. Obremskey, Nick Pappas, Emad Attallah-Wasif, Paul Tornetta, Mohit Bhandari

Bibliographic record

VenueJournal of Bone and Joint Surgery · 2005
Typearticle
Languageen
FieldDecision Sciences
TopicMeta-analysis and systematic reviews
Canadian institutionsMcMaster UniversityHamilton Health SciencesHamilton General Hospital
Fundersnot available
KeywordsMedicineGrading (engineering)Evidence-based medicineKappaMEDLINERating systemFamily medicineAlternative medicinePathology

Abstract

fetched live from OpenAlex

BACKGROUND: The American edition of The Journal of Bone and Joint Surgery (JBJS-A) has included a level-of-evidence rating for each of its clinical scientific papers published since January 2003. The purpose of this study was to assess the type and level of evidence found in nine different orthopaedic journals by applying this level-of-evidence rating system. METHODS: We reviewed all clinical articles published from January through June 2003 in nine orthopaedic journals. Studies of animals, studies of cadavera, basic-science articles, review articles, case reports, and expert opinions were excluded. The remaining 382 clinical articles were randomly assigned to three experienced reviewers and two inexperienced reviewers, who rated them with the JBJS-A grading system. Each reviewer determined whether the studies were therapeutic, prognostic, diagnostic, or economic, and each rated the level of evidence as I, II, III, or IV. Reviewers were blinded to the grades assigned by the other reviewers. RESULTS: According to the reviewers' ratings, 70.7% of the articles were therapeutic, 19.9% were prognostic, 8.9% were diagnostic, and 0.5% were economic. The reviewers graded 11.3% as Level I, 20.7% as Level II, 9.9% as Level III, and 58.1% as Level IV. The kappa values for the interobserver agreement between the experienced reviewers and the inexperienced reviewers were 0.62 for the level of evidence and 0.76 for the study type. The kappa values for the interobserver agreement between the experienced reviewers were 0.75 for the level of evidence and 0.85 for the study type. The kappa values for the agreement between the reviewers' grades and the JBJS-A grades were 0.84 for the level of evidence and 1.00 for the study type. All kappa values were significantly different from zero (p < 0.0001 for all). The percentage of articles that were rated Level I or II increased in accordance with the 2003 journal impact factors for the individual journals (p = 0.0061). CONCLUSIONS: Orthopaedic journals with a higher impact factor are more likely to publish Level-I or II articles. The type and level of information in orthopaedic journals can be reliably classified, and clinical investigators should pursue studies with a higher level of evidence whenever feasible.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmaMetaresearchBibliometrics
Domain: Evaluation · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptMetaresearch
Domain: Evaluation · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
models splitAgreement compares identical category sets and study designs across arms.

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.020
metaresearch head score (Gemma)0.149
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.980
Threshold uncertainty score0.418

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.149
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0070.004
Bibliometrics0.0120.014
Science and technology studies0.0020.004
Scholarly communication0.0140.005
Open science0.0090.005
Research integrity0.0110.008
Insufficient payload (model declined to judge)0.1250.060

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.953
GPT teacher head0.556
Teacher spread0.397 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Labeled directly by 2 models reading the full record.

MetaresearchBibliometrics

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designObservational
DomainEvaluation
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations324
Published2005
Admission routes1
Has abstractyes

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