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Record W2803943008 · doi:10.1159/000488310

Opportunities and Challenges in Global Perinatal Research

2018· review· en· W2803943008 on OpenAlexaff
Jessica Duby, Renee Sharma, Zulfiqar A Bhutta

Bibliographic record

VenueNeonatology · 2018
Typereview
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsPrioritizationGlobal healthMedicineLow and middle income countriesEnvironmental healthPerinatal mortalityAction planGlobal challengesDeveloping countryEconomic growthPolitical scienceBusinessPregnancyPublic healthNursingGeographyEnvironmental planningBiologyEconomics

Abstract

fetched live from OpenAlex

BACKGROUND: The global plight of stillbirths and neonatal mortality is concentrated in low- and middle-income countries. The ambitious targets introduced by the World Health Organization in the Every Newborn Action Plan demand a commitment to research that promotes equitable perinatal outcomes. OBJECTIVES: The aim of this review was to understand the opportunities for global perinatal research and the accompanying challenges. METHODS: We conducted a literature search to identify research prioritization exercises from 2014 to 2018 pertaining to global perinatal health. The top 50 questions with the highest research prioritization scores were extracted and analyzed. RESULTS: The greatest priorities centered on community-based, implementation research targeting major causes of stillbirth and neonatal mortality in low-resource settings. The priorities are saddled with prerequisite conditions, design obstacles, and ethical considerations that require attention. CONCLUSIONS: While the challenges are undeniable, the need to make the perinatal period healthier for babies worldwide has never been clearer.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.982
Threshold uncertainty score0.613

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.424
GPT teacher head0.474
Teacher spread0.050 · 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 designNot applicable
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
Published2018
Admission routes1
Has abstractyes

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