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Record W2913781676 · doi:10.1186/s12978-019-0667-z

Care plans for women pregnant using assisted reproductive technologies: a systematic review

2019· review· en· W2913781676 on OpenAlexafffund
Maria P. Vélez, Candyce Hamel, Brian Hutton, Laura Gaudet, Mark Walker, Micere Thuku, Kelly D. Cobey, Misty Pratt, Becky Skidmore, Graeme N. Smith

Bibliographic record

VenueReproductive Health · 2019
Typereview
Languageen
FieldMedicine
TopicAssisted Reproductive Technology and Twin Pregnancy
Canadian institutionsUniversity of OttawaKingston General HospitalOttawa HospitalQueen's University
FundersInstitute of Human Development, Child and Youth HealthCanadian Institutes of Health Research
KeywordsMedicineReproductive medicineAssisted reproductive technologyIntracytoplasmic sperm injectionPregnancyCochrane LibraryReproductive technologyMEDLINEPopulationInfertilityIn vitro fertilisationGynecologyObstetricsFamily medicineAlternative medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Between 1 and 5% of children in industrialized countries are conceived through Assisted Reproductive Technologies (ART). As infertility and the use of ART may be associated with adverse perinatal outcomes, care plans specific to these pregnancies are needed. We conducted a systematic review to examine the existing care plans specific to women pregnant following Assisted Reproductive Technologies (ART). METHODS: MEDLINE, Embase and the Cochrane Library were searched by a senior information specialist. The population of interest included women becoming pregnant with ART (e.g., Intra-Uterine Insemination, In Vitro Fertilization (IVF), Intracytoplasmic Sperm Injection (ICSI), and surrogacy). All proposed care plans were sought that pertained to any aspect of care during pregnancy and delivery. Only Clinical Practice Guidelines (CPGs) addressing the recommendations and plans for the care of ART pregnant women were included. The search was restricted to the publication dates 2007 to June 12, 2017 when the search was run. The search was not restricted by language, however only English and French language guidelines were considered for inclusion. RESULTS: After screening 2078 citations, a total of ten CPGs were included. The following key clinical messages were prevalent: (1) although there was no supporting evidence, antenatal care for ART pregnancies should be provided by specialist with knowledge in obstetrics; (2) high-order multiple pregnancies are the greatest risk of ART and selective reduction options should be discussed; (3) there is some evidence of increased risk of congenital abnormalities and prenatal genetic and anatomic screening is recommended, especially in IVF-ICSI pregnancies; (4) due to a lack of or conflicting evidence, treatment of venous thromboembolism, antithrombotic therapy, treatment for hypothyroidism, and women with positive thyroid antibodies is recommended to be the same as in spontaneous pregnancies; and lastly (5) since an increased level of distress is a recognized feature in these pregnancies, psychosocial care and counselling should be considered. CONCLUSIONS: There is a lack of CPGs specific to ART pregnancies. While we identified a small number of recommendations for ART pregnancies, specific interventions and models of care aiming at decreasing adverse maternal and perinatal outcomes following ART should be developed, implemented, and evaluated.

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)0.008
metaresearch head score (Gemma)0.041
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 score0.014
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.041
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.006
Bibliometrics0.0100.011
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.129
GPT teacher head0.421
Teacher spread0.292 · 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".

Quick stats

Citations51
Published2019
Admission routes2
Has abstractyes

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