Integrated management of type 2 diabetes and gestational diabetes within multi-morbidity conditions in Africa: a systematic review protocol
Bibliographic record
Abstract
INTRODUCTION: Multi-morbidity, defined as the co-existence of more than one chronic condition in one person, has been increasing due to comorbid non-communicable and infectious chronic diseases (CNCICDs). Type 2 diabetes (T2D) and gestational diabetes mellitus (GDM) incidences within the CNCICDs conditions are increasing and overwhelming already weak and under-resourced healthcare systems in Africa. There is then an urgent need for the integrated management of CNCICDs. We aim to review the integrated management of T2D and GDM within multi-morbidity conditions in Africa. METHODS: Studies that have assessed the integrated management of T2D and GDM within multi-morbidity conditions in Africa will be considered based on the Population, Intervention, Comparator and Outcome method: population (adult diagnosed with T2D and GDM, who also have other diseases, non-communicable diseases (NCDs) and infectious, in public primary and secondary healthcare facilities in Africa); Intervention (integrated management of T2D and GDM, also suffering from other diseases in Africa), Comparator (Unintegrated management of T2D and GDM in Africa) and Outcomes (integrated management of T2D and GDM in Africa). The following databases Cochrane Library, MEDLINE, PubMed and SCOPUS, the WHO International Clinical Trials Registry Platform, among others will be searched. Two reviewers (JCM and MW) will independently screen, select eligible studies and extract data. Discrepancies will be resolved by consensus or by a discussion with the third author (AR). Quality of included studies will be assessed using both the newly developed tool, 'the Cochrane Collaboration Risk of Bias Tool' and 'Risk Of Bias In Non-randomised Studies - of Interventions (ROBINS-I)". A narrative synthesis of extracted data and meta-analysis, if necessary will be conducted and then reported according to the preferred reporting items for systematic review and meta-analysis. ETHICS CONSIDERATION AND DISSEMINATION: By only using the published data, there is no ethics approval required for this study. This systematic review will be included in JCM's PhD thesis and its findings will also be disseminated through peer-reviewed publication and conference presentation. PROSPERO REGISTRATION NUMBER: CRD42016046630.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.045 | 0.049 |
| Meta-epidemiology (narrow) | 0.004 | 0.005 |
| Meta-epidemiology (broad) | 0.020 | 0.012 |
| Bibliometrics | 0.015 | 0.014 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.056 | 0.005 |
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 source (direct Gemma or distilled Codex), 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".