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Record W2100927138 · doi:10.1177/0269215507081573

Factors associated with a second hip fracture: a systematic review

2007· review· en· W2100927138 on OpenAlexafffund
Mary Egan, Susan Jaglal, Kerry Byrne, Jennie Wells, Paul Stolee

Bibliographic record

VenueClinical Rehabilitation · 2007
Typereview
Languageen
FieldMedicine
TopicHip and Femur Fractures
Canadian institutionsWestern UniversityUniversity of WaterlooLawson Health Research InstituteUniversity of TorontoUniversity of Ottawa
FundersCanadian Institutes of Health ResearchToronto Rehabilitation Institute
KeywordsJadad scaleMedicineHip fractureCINAHLPhysical therapyOsteoporosisRandomized controlled trialMEDLINECohort studySystematic reviewCohortInternal medicinePsychological interventionPsychiatryCochrane Library

Abstract

fetched live from OpenAlex

OBJECTIVE: To provide a systematic review of factors associated with subsequent hip fracture among individuals who have fractured a hip. DATA SOURCES: We searched Ageline, CINAHL, EMBASE and MEDLINE, from database inceptions to the week of 5 June 2006. REVIEW METHODS: Studies were selected if they provided information regarding risk of subsequent hip fracture among individuals who had fractured a hip. Study quality was assessed using the Jadad criteria for randomized controlled trials (RCTs) and a simple scale based on the MOOSE criteria for cohort studies. RESULTS: Four RCTs and seven cohort studies were identified. Older age, cognitive impairment and lower bone mass appear to increase the risk of subsequent fracture, as did impaired depth perception, impaired mobility, previous falls, dizziness and poor or fair self-perceived health. Pharmacologic treatment for osteoporosis decreased the risk of subsequent fracture. Use of hip protectors by community-dwelling seniors did not appear to protect against a second fracture. CONCLUSION: A number of easily observed risk factors may help identify those individuals at higher risk for subsequent fracture.

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)0.005
metaresearch head score (Gemma)0.059
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.319
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.059
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0070.002
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.178
GPT teacher head0.478
Teacher spread0.300 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations75
Published2007
Admission routes2
Has abstractyes

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