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The use of misoprostol in outpatient treatment of abortions in the first quarter of pregnancy in Dakar

2017· article· en· W2767071192 on OpenAlexaboutno aff
M. M. Niang, N. A. Fall Augowet, Djibril Diallo, Mariétou Thiam, Jean Charles Moreau, C T Cissé

Bibliographic record

VenueInternational Journal of Reproduction Contraception Obstetrics and Gynecology · 2017
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Contraception
Canadian institutionsnot available
Fundersnot available
KeywordsMisoprostolMedicineObstetricsAbortionQuarter (Canadian coin)AmbulatoryPregnancyGynecologySurgery

Abstract

fetched live from OpenAlex

Background: The objective of this study was to compare the effectiveness of misoprostol comparing to MVA in support of abortion from the first quarter.Methods: This was a prospective, descriptive and analytical study (case-control study) made between January 1st and December 31st, 2015 in a level 1 maternity in Dakar.Results: The study included316 first trimester abortions (158 were treated with misoprostol and 158 with MVA). The epidemiological profile was a woman aged on average 28.5 years and nulliparous (37%). The mean gestational age was 8 weeks 6 days. The rate of complete uterine evacuation was comparable in both groups (93% for misoprostol versus 94.3%for MVA) with a non-significant p-value. Side effects found (40.8%) were minor. The hospital stay averaged two hours in the misoprostol group against 24 hours for MVA. Anaemia was more common in the MVA group (44.1%) than in the misoprostol group (23.6%) (p = 0.0006). The cost of treatment with misoprostol (5620 CFA francs) was on average four times less than that of MVA (21,623 CFA francs).Conclusions: Misoprostol can be seen as a credible alternative in the management of first quarter abortions because of its many advantages including its effectiveness, its easiness to be used in ambulatory, its low cost and safety.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.050
GPT teacher head0.332
Teacher spread0.282 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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