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Record W1592640182 · doi:10.15537/1658-3175.5741

Level of evidence of clinical orthopedic surgery research in Saudi Arabia

2013· article· en· W1592640182 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSaudi Medical Journal · 2013
Typearticle
Languageen
FieldMedicine
TopicHealth and Medical Research Impacts
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineOrthopedic surgeryEvidence-based medicineMEDLINEFamily medicineSurgeryAlternative medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To evaluate the level of evidence (LOE) of Saudi clinical orthopedic research. METHODS: In July 2012, a list of Saudi orthopedic surgeons (N=93) affiliated with all major universities and hospitals in Saudi Arabia were obtained. PubMed and Embase searches were performed for all eligible studies over the last 2 decades (August 1991 to May 2012). The Oxford LOE scale was utilized to determine the LOE of these studies (Level V studies were excluded). The LOE trends were compared between the last 2 decades. In addition, the LOE of Saudi orthopedic studies was compared with North American studies. RESULTS: Of 251 articles, 159 met the inclusion criteria for the LOE evaluation. Most of the published studies are Level IV (86%). The average level of evidence was 3.75. There was no statistically significant difference when we compared the LOE trend between the last 2 decades. North American studies contained higher proportions of high-level studies when compared to Saudi studies (p<0.05). CONCLUSION: Most of the published studies are low LOE. Academic staff, institutions, and training programs are required to develop research strategies to improve orthopedic research quality in Saudi Arabia.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.066
metaresearch head score (Gemma)0.490
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.610
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0660.490
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0050.000

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 head0.854
GPT teacher head0.640
Teacher spread0.214 · 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