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Record W4415439208 · doi:10.1302/1358-992x.2025.10.104

HAS THE PROFHER TRIAL INFLUENCED THE PRACTICE PATTERNS OF ORTHOPAEDIC SURGEONS TREATING PROXIMAL HUMERUS FRACTURES IN NORTH AMERICA?

2025· article· en· W4415439208 on OpenAlexaffabout
Ujash Sheth, Jimmy Tat, D. Thiruchelvam, Marie Paterson, Diane Nam

Bibliographic record

VenueOrthopaedic Proceedings · 2025
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsProximal humerusOrthopedic surgeryArthroplastyHumerusHumerus fractureShoulder FractureGeneralizability theory

Abstract

fetched live from OpenAlex

The PROximal Fracture of the Humerus: Evaluation by Randomization (ProFHER) trial was published in the Journal of the American Medical Association (JAMA) in March of 2015 and found no difference in outcomes between patients undergoing surgery and those treated without surgery at 2-years. However, the results of the study have been criticized due to the poor inclusion rate (250 of a possible 1250), selection bias (excluding those with “clear indications for surgery”), limited generalizability to 4-part proximal humerus fractures and absence of reverse total shoulder arthroplasty (RTSA) as a treatment in the surgical cohort. Although several studies have examined the impact of the ProFHER trial on the management of proximal humerus fractures in Europe, it remains unknown how the study findings have impacted orthopaedic surgeons in North America. Provincial health administrative databases in Ontario, Canada were used to identify patients 50 years of age and older with a proximal humerus fracture from April 2004 to March 2019. The proportion of proximal humerus fractures treated with and without surgery was calculated for each calendar quarter and year. A subgroup analysis was performed to evaluate the trends in utilization of reverse total should arthroplasty as a treatment. An interrupted time-series analysis was used to determine whether changes in the proportion of surgically and non-surgically managed proximal humerus fractures were chronologically related to the publication of the ProFHER trial (first quarter, 2015). Among the 68,218 proximal humerus fractures that occurred during the study period, 89.2% of patients were treated non-surgically, 9.2% underwent ORIF or hemiarthroplasty, and 1.6% of fractures were treated with RTSA. In the second quarter of 2004, the rate of ORIF and hemiarthroplasty was 9.1% and rising in Ontario, Canada. By the end of the study period, the rate was 7.9% and demonstrating a sharp downturn. Based on the results of the time-series analysis, there is evidence to suggest that the rate of ORIF and hemiarthroplasty significantly decreased immediately following publication of ProFHER trial (P > 0.05) (Figure 1). Similarly, the rate of non-surgical management was noted to significantly increase in the period immediately after publication. This increase, however, was not sustained, in large part due to the greater use of RTSA for proximal humerus fractures. RTSA utilization was found to exponentially increase, both prior to and after the dissemination of the ProFHER trials results as demonstrated by the 350% increase in its use during the study period (Figure 2). Despite the various criticisms of the ProFHER study, a significant change in practice was observed in this large North American cohort. The findings of the current study suggest that the results of the ProFHER trial may have influenced the practice patterns of orthopaedic surgeons in Ontario, Canada. However, our results also revealed that the ProFHER study may not be applicable to all patients with a proximal humerus fracture as evidenced by the exponential increase in RTSA utilization. Further study is required to determine who would benefit from RTSA in the fracture setting. For any figures or tables, please contact the authors directly.

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

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.833

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.018
GPT teacher head0.315
Teacher spread0.297 · 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

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
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

Citations0
Published2025
Admission routes2
Has abstractyes

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