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Prenatal education for congenital toxoplasmosis

2013· review· en· W4229763089 on OpenAlexaboutno aff
Simona Di Mario, Vittorio Basevi, Carlo Gagliotti, Daniela Spettoli, Gianfranco Gori, Roberto D’Amico, Nicola Magrini

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2013
Typereview
Languageen
Field
Topic
Canadian institutionsnot available
FundersWorld Health OrganizationRegione Emilia-RomagnaUNICEFWorld Bank Group
KeywordsMedicineRandomized controlled trialPediatricsToxoplasmosisPregnancyPrenatal careCochrane LibraryCINAHLMeta-analysisPopulationInternal medicinePsychological interventionPsychiatryEnvironmental healthPathology

Abstract

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BACKGROUND: Congenital toxoplasmosis is considered a rare but potentially severe infection. Prenatal education about congenital toxoplasmosis could be the most efficient and least harmful intervention, yet its effectiveness is uncertain. OBJECTIVES: To assess the effects of prenatal education for preventing congenital toxoplasmosis. SEARCH METHODS: We searched the Cochrane Pregnancy and Childbirth Group's Trials Register (15 January 2012), PubMed (1966 to 15 January 2012), EMBASE (1980 to 15 January 2012), CINAHL (1982 to 15 January 2012), LILACS (1982 to 15 January 2012), IMEMR (1984 to 15 January 2012), and reference lists of relevant papers, reviews and websites. SELECTION CRITERIA: Randomized and quasi-randomized controlled trials (RCTs) of all types of prenatal education on toxoplasmosis infection during pregnancy. Cluster-randomized trials were included. DATA COLLECTION AND ANALYSIS: Two review authors independently assessed trials for inclusion and study quality. Two review authors extracted data. Data were checked for accuracy. MAIN RESULTS: Two cluster-randomized controlled trials (involving a total of 5455 women) met the inclusion criteria. The two included trials measured the effectiveness of the intervention in different ways which meant that meta-analysis of the results was not possible One trial (432 women enrolled) conducted in Canada was judged of low methodological quality. The authors did not report measure of association but only provided P values (P less than 0.05) for all outcomes. Moreover, losses to follow-up were high (34%, 147 out of 432 women initially enrolled). The authors concluded that prenatal education can effectively change pregnant women's behavior as it increased pet, personal and food hygiene. The second trial conducted in France was also judged of low methodological quality. Losses to follow-up were high (44.5%, 2233 out of 5023 women initially enrolled) and differential (40% in the intervention group and 52% in the control group). The authors concluded that prenatal education for congenital toxoplasmoses has a significant effect on improving women's knowledge whereas it has no effect on changing women's behavior. In this trial 17/3949 pregnant women seroconverted for toxoplasmosis: 13/2591 (0.5%) in the intervention group and 4/1358 (0.3%) in the control group. The number of events was too small to reach conclusions about the effect of prenatal education on seroconversion rate during pregnancy.No other randomized trials on the effect of prenatal education on congenital toxoplasmosis rate, or toxoplasmosis seroconversion rate during pregnancy were detected. AUTHORS' CONCLUSIONS: Even though primary prevention of congenital toxoplasmosis is considered a desirable intervention, given the lack of related risks compared to secondary and tertiary prevention, its effectiveness has not been adequately evaluated. There is very little evidence from RCTs that prenatal education is effective in reducing congenital toxoplasmosis even though evidence from observational studies suggests it is. Given the lack of good evidence supporting prenatal education for congenital toxoplasmosis prevention, further RCTs are needed to confirm any potential benefits and to further quantify the impact of different sets of educational intervention.

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)0.003
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.021
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.137
GPT teacher head0.401
Teacher spread0.264 · 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 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".

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Citations25
Published2013
Admission routes1
Has abstractyes

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