Quality of Follow-up
Bibliographic record
Abstract
OBJECTIVE: We aim to systematically review the bariatric surgery literature with regards to adequacy of patient follow-up, meeting the McMaster criteria of ≥80% follow-up. BACKGROUND: Loss to follow-up is a major concern and can potentially bias the outcome and interpretation of a study. The quality of follow-up in bariatric surgery is quite variable with recent systematic reviews criticizing the field for its lack of overall follow-up. METHODS: A complete search of PubMed was performed. Literature was restricted to a range of 5 years (2007-2012), English language, and publications listed in PubMed. The McMaster Evidence-based Criteria for High Quality Studies was used to assess the follow-up data adequacy and a logistic meta-regression was performed to identify factors associated with high quality follow-up studies. RESULTS: Ninety-nine published manuscripts were included. For follow-up at study end, only 40/99 (40.4%) of papers had adequate patient follow-up, 42/99 (42.4%) failed to meet the McMaster criteria and 17/99 (17.2%) failed to report any follow-up results. On average, 31% were lost to follow-up at the study's end. Only shorter study duration, and if the study was performed in the US, were associated with studies meeting the McMaster criteria. CONCLUSIONS: Only 40% of studies in the bariatric surgery literature meet criteria for adequate follow-up. On average, studies have 30% of patients lost to follow-up at the stated end-point. Identified study characteristics associated with high quality follow-up included shorter study duration and studies performed in the US.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".