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Metabolic and bariatric surgery: Postoperative management

2025· article· en· W4415874712 on OpenAlexfundno aff
Jane Skelton, A Murphy, M Conradie-Smit, Warren May

Bibliographic record

VenueSouth African Medical Journal · 2025
Typearticle
Languageen
FieldMedicine
TopicBariatric Surgery and Outcomes
Canadian institutionsnot available
FundersObesity Canada
KeywordsReferralMultivitaminPsychological interventionPrimary careHealth careVitamin

Abstract

fetched live from OpenAlex

RECOMMENDATIONS 1. HCPs can encourage PLWO who have undergone MBS to participate in and maximise their access to behavioural interventions and allied health services at an MBS centre (Level 2a, Grade B). 2. We suggest that MBS centres communicate a comprehensive care plan to primary HCPs for patients who are discharged, including MBS procedure, emergency contact numbers, annual blood tests required, long-term vitamin and mineral supplements, medications, behavioural interventions, and when to refer back (Level 4, Grade D, Consensus). 3. We suggest that after a PLWO has been discharged from the MBS centre, HCPs should annually review nutritional intake, activity, compliance with multivitamin and mineral supplements and weight, as well as assess comorbidities, order laboratory tests to assess for nutritional deficiencies, and investigate abnormal results and treat as required (Level 4, Grade D, Consensus). 4. We suggest that HCPs consider referral back to the MBS centre or to a local bariatric medicine specialist for technical or gastrointestinal symptoms, nutritional issues, pregnancy, psychological support, weight regain, or other medical issues related to MBS as described in this chapter (Level 4, Grade D, Consensus). 5. We suggest that MBS centres provide appropriate follow-up and laboratory tests at regular intervals after surgery with access to appropriate HCPs (dietitian, nurse, social worker, surgeon, bariatric physician, psychologist/psychiatrist) until discharge/referral to primary care level is deemed appropriate for the patient (Level 4, Grade D, Consensus).

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)0.002
metaresearch head score (Gemma)0.001
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 score0.417
Threshold uncertainty score0.949

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.261
Teacher spread0.249 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

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