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Record W2917309778

Top 20 Research Studies of 2014 for Primary Care Physicians.

2015· article· en· W2917309778 on OpenAlexaffabout
Mark H. Ebell, Roland Grad

Bibliographic record

VenuePubMed · 2015
Typearticle
Languageen
FieldMedicine
TopicClinical practice guidelines implementation
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineOsteoporosisCOPDOsteoarthritisAcetaminophenPhysical therapyAspirinIntensive care medicineInternal medicineAlternative medicine
DOInot available

Abstract

fetched live from OpenAlex

A team of primary care clinicians with expertise in evidence-based medicine performed monthly surveillance of more than 110 English-language clinical research journals during 2014, and identified 255 studies that had the potential to change how family physicians practice. Each study was critically appraised and summarized, focusing on its relevance to primary care practice, validity, and likelihood that it could change practice. A validated tool was used to obtain feedback from members of the Canadian Medical Association about the clinical relevance of each POEM (patient-oriented evidence that matters) and the benefits they expect for their practice. This article, the fourth installment in this annual series, summarizes the 20 POEMs based on original research studies judged to have the greatest impact on practice for family physicians. Key studies for this year include advice on symptomatic management and prognosis for acute respiratory infections; a novel and effective strengthening treatment for plantar fasciitis; a study showing that varenicline plus nicotine replacement is more effective than varenicline alone; a network meta-analysis concluding that angiotensin-converting enzyme inhibitors are preferred over angiotensin II receptor blockers; the clear benefits of initial therapy with metformin over other agents in patients with diabetes mellitus; and important guidance on the use of anticoagulants.

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)0.003
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.706
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.672
GPT teacher head0.580
Teacher spread0.093 · 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.

Study designNot applicable
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

Citations4
Published2015
Admission routes2
Has abstractyes

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