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Record W4200132494 · doi:10.1186/s40001-021-00606-7

A fresh look at the role of spiramycin in preventing a neglected disease: meta-analyses of observational studies

2021· review· en· W4200132494 on OpenAlexaff
José G. Montoya, Katherine Laessig, Mir Sohail Fazeli, Gaye Siliman, Sophie S. Yoon, Elizabeth Drake-Shanahan, Chengyue Zhu, Akbar Akbary, Rima McLeod

Bibliographic record

VenueEuropean journal of medical research · 2021
Typereview
Languageen
FieldImmunology and Microbiology
TopicToxoplasma gondii Research Studies
Canadian institutionsEVRAZ (Canada)
FundersNational Institute of Allergy and Infectious DiseasesSanofi
KeywordsSpiramycinMedicineToxoplasma gondiiFolinic acidOffspringIncidence (geometry)Observational studyToxoplasmosisInternal medicineMeta-analysisPyrimethaminePregnancyPediatricsObstetricsAntibioticsImmunologyBiologyChemotherapyAntibodyMicrobiology

Abstract

fetched live from OpenAlex

PURPOSE: We aimed to investigate the effect of antepartum treatment with spiramycin with or without subsequent pyrimethamine-sulfonamide-folinic acid, compared to no treatment, on the rate of mother-to-child transmission (MTCT) of Toxoplasma gondii (T. gondii) and incidence/severity of sequelae in the offspring. METHODS: Embase and PubMed were searched for literature on spiramycin in pregnant women suspected/diagnosed with T. gondii infection. Meta-analyses were performed using random-effects model. RESULTS: Thirty-three studies (32 cohorts and 1 cross-sectional study), with a total of 15,406 mothers and 15,250 offspring, were pooled for analyses. The MTCT rate for all treated patients was significantly lower than the untreated [19.5% (95% CI 14-25.5%) versus 50.7% (95% CI 31.2-70%), p < 0.001]. The transmission rate in patients on spiramycin monotherapy was also significantly lower than untreated [17.6% (95% CI 9.9-26.8%) versus 50.7% (95% CI 31.2-70%), p < 0.001]. CONCLUSION: Results indicate significant reduction in MTCT rates following spiramycin treatment of suspected/diagnosed maternal T. gondii infection.

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)0.021
metaresearch head score (Gemma)0.067
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.943
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0210.067
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0020.003
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.585
GPT teacher head0.546
Teacher spread0.039 · 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.

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

Citations20
Published2021
Admission routes1
Has abstractyes

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