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Record W4415152412 · doi:10.1002/ijgo.70583

Association between the female survivors of childhood, adolescent, and young adult cancer and the adverse obstetric and feto‐maternal outcomes: A systematic review and meta‐analysis

2025· review· en· W4415152412 on OpenAlexaboutno aff
Pallavi Digambar Dhabekar, Neelam Srivastava, Kalyani Deshmukh, Kavinkumar Saravanan, Sonal Dayama, Anita Yadav, Aravind P. Gandhi

Bibliographic record

VenueInternational Journal of Gynecology & Obstetrics · 2025
Typereview
Languageen
FieldMedicine
TopicCancer Risks and Factors
Canadian institutionsnot available
Fundersnot available
KeywordsYoung adultGestational diabetesCancerPregnancyDiabetes mellitusAssociation (psychology)Adverse effectGestation

Abstract

fetched live from OpenAlex

OBJECTIVES: Potential to conceive after successful cancer therapy remains a major concern for young female survivors, as cancer and its associated treatments can negatively affect both maternal and fetal outcomes in future pregnancies. This study aims to determine the association between the female survivors of childhood, adolescent, and young adult cancer and the adverse obstetric and feto-maternal outcomes. METHOD: Literature search was done on PubMed, EMBASE, Scopus, and Web of Science to identify relevant studies. Literature published up to December 3, 2024, was included. Cancer survivors, with any type of cancer diagnosed during childhood, adolescence, or young adulthood (up to 39 years of age), were included. Studies reporting the comparative feto-maternal outcomes in pregnant women with and without any cancer history were included. Relevant studies were identified and screened, and duplicates were removed using NESTED Knowledge. Risk of bias was assessed using Newcastle-Ottawa Scale. The calculation of pooled estimates for outcomes using maximum likelihood estimators was carried out using a random effects model. R Studio was used to perform statistical analyses in accordance with accepted coding practices. Certainty in evidence was assessed by GRADE profile. RESULTS: Overall, 40 studies were eligible for inclusion, among which 37 were included in the meta-analysis. The pooled relative risk (RR) of the 15 studies reporting preterm births was 1.30 (95% confidence interval [CI]: 1.15, 1.47), significantly higher among the cancer survivors. Twelve studies had a pooled RR of 1.32 (95% CI: 1.09, 1.60) for gestational diabetes mellitus among the individuals with cancer history. Pooled RR was 1.13 (95% CI: 1.01, 1.27) for congenital anomalies, indicating a significantly higher risk among cancer survivors. Certainty of evidence was rated very low for all outcomes. CONCLUSION: Female cancer survivors have an increased risk of preterm birth, gestational diabetes mellitus, congenital anomalies, and caesarean delivery.

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)0.001
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.515
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.028
GPT teacher head0.341
Teacher spread0.314 · 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 designMeta-analysis
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

Citations0
Published2025
Admission routes1
Has abstractyes

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