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Record W3093146014 · doi:10.11124/jbies-20-00036

Timing of maternal and neonatal mortality and morbidity in healthy women and newborns during the postnatal period: a systematic review protocol

2020· review· en· W3093146014 on OpenAlexafffund
Justine Dol, Brianna Hughes, Mercedes Bonet, Étienne V Langlois, Robin Parker, Heather Scott, Janet Curran

Bibliographic record

VenueJBI Evidence Synthesis · 2020
Typereview
Languageen
FieldMedicine
TopicGestational Diabetes Research and Management
Canadian institutionsKellogg's (Canada)Capital District Health AuthorityDalhousie University
FundersCanadian Institutes of Health ResearchWorld Health Organization
KeywordsMedicineCritical appraisalPediatricsNarrative reviewPregnancyIntensive care medicineAlternative medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine the timing of overall and cause-specific maternal and neonatal mortality and severe morbidity in healthy women and newborns during the postnatal period. INTRODUCTION: Despite significant focus on improving maternal and neonatal outcomes, many women and newborns continue to die or suffer negative health outcomes within the postnatal period. While the maternal and neonatal mortality and morbidity rates and causes are regularly updated, less is known on when they occur during the postnatal period. INCLUSION CRITERIA: This review will consider studies that include healthy women and newborns after birth to six weeks' and four weeks' postnatally, respectively, and includes data regarding time to death or complications. Studies that report solely on high risk women (eg, antenatal complications) or preterm or high-risk newborns will not be included in this review. METHODS: The search strategy will aim to locate both published and unpublished studies. After the initial search and removal of duplicates, titles and abstracts of all retrieved studies will be screened and the full text of selected reports will be assessed against the eligibility criteria. The reference list of all studies selected for critical appraisal will be screened for additional relevant studies/reports. Screening, critical appraisal, and data extraction will be completed by two independent reviewers. Findings from the studies/reports will be pooled in statistical meta-analysis or presented in narrative form including tables and figures. SYSTEMATIC REVIEW REGISTRATION NUMBER: PROSPERO CRD42020187341.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation 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 score0.062
Threshold uncertainty score0.714

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.050
GPT teacher head0.396
Teacher spread0.346 · 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 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

Citations3
Published2020
Admission routes2
Has abstractyes

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