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Record W2126150301 · doi:10.1186/s13643-015-0107-2

Effect of non-surgical, non-pharmacological weight loss interventions in patients who are obese prior to hip and knee arthroplasty surgery: a rapid review

2015· review· en· W2126150301 on OpenAlexafffund
Michelle Lui, C Allyson Jones, Marie Westby

Bibliographic record

VenueSystematic Reviews · 2015
Typereview
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsResearch CanadaArthritis Research Centre of CanadaUniversity of AlbertaSurrey Memorial Hospital
FundersAlberta Innovates
KeywordsMedicineWeight lossArthroplastyPsychological interventionBody mass indexOsteoarthritisObservational studyCohort studySurgeryCohortAdverse effectHip surgeryPhysical therapyQuality of life (healthcare)Retrospective cohort studyHip arthroplastyObesityInternal medicineAlternative medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Of the more than 104,000 Canadians who underwent elective total joint arthroplasty (TJA) surgery in 2012-2013 for hip and knee osteoarthritis (OA), 40 and 60 %, respectively, were obese. Obesity is associated with increased risks for receiving TJA, post-operative complications and delayed functional recovery. Current guidelines for patients with a body mass index (BMI) of ≥30 kg/m(2) are to participate in a weight management programme and to lose weight prior to TJA surgery. As part of a larger project, a rapid review was conducted to examine the effects of short-term non-pharmacological and non-surgical weight loss interventions in adults in the year prior to total hip arthroplasty (THA) and total knee arthroplasty (TKA) on surgical and patient outcomes, and adverse events. METHODS: We performed a rapid review and searched seven electronic databases for English language articles published between 1990 and February 2015. Observational studies evaluating the association between pre-operative weight loss and short- and long-term outcomes, and controlled trials of non-pharmacological and non-surgical weight loss interventions were considered for inclusion. Two reviewers independently screened and selected articles, assessed methodological quality and extracted data. RESULTS: Of 263 articles identified, a total of four studies met our inclusion criteria. In one of two high-quality retrospective cohort studies, weight loss ≥5 % of body weight in the year prior to TJA and maintained in the year after surgery was associated with a higher likelihood of deep surgical site infection in THA patients and 90-day readmission in TKA patients. No significant differences were reported in incidence of superficial surgical site infections in THA or TKA patients who lost weight pre-operatively compared to those who maintained their weight in either study. Two abstracts of randomized controlled trials were included; however, despite contacting the authors, full-length articles were not available. The limited information from the trials suggested that short-term dietician-supervised weight loss interventions were effective in weight loss prior to TJA. CONCLUSIONS: There is limited evidence to support the recommendation of weight loss in the year prior to TJA and to determine the effectiveness of short-term non-pharmacological, non-surgical weight management interventions on patient and surgical outcomes.

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 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)0.008
metaresearch head score (Gemma)0.036
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.011
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.036
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.006
Bibliometrics0.0110.010
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.063
GPT teacher head0.386
Teacher spread0.323 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations88
Published2015
Admission routes2
Has abstractyes

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