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Record W2914140610 · doi:10.1007/s00404-018-05039-y

Laparoscopy versus open surgery for adnexal masses in pregnancy: a meta-analytic review

2019· review· en· W2914140610 on OpenAlexaboutno aff
Piaopiao Ye, Na Zhao, Jing Shu, Heping Shen, Yanpeng Wang, Lifeng Chen, Xiaojian Yan

Bibliographic record

VenueArchives of Gynecology and Obstetrics · 2019
Typereview
Languageen
FieldMedicine
TopicOvarian cancer diagnosis and treatment
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsMedicineLaparoscopyAdnexal DiseasesAdnexal massPregnancyObstetricsGeneral surgerySurgeryGynecology

Abstract

fetched live from OpenAlex

PURPOSE: The objective of this meta-analysis is to investigate and compare the pregnancy outcomes of laparoscopy and open surgery in the treatment of ovarian tumors during pregnancy. METHODS: Search was conducted using MEDLINE, EMBASE, and Cochrane Databases from January 1990 to November 2018. A broad search strategy was used to identify studies comparing laparoscopy and open surgery in pregnancy. Inclusion criteria included comparative studies with the quantitative outcome data on gravida. Two authors independently reviewed and assessed for the quality of included studies according to the Newcastle-Ottawa Scale. Data were extracted for fetal loss, preterm delivery, duration of surgery, blood loss and length of hospital stay. RESULTS: Nine retrospective trials were identified involving 985 patients. No statistical significance was found in fetal loss between laparoscopy and open surgery (P value = 0.334). The pooled estimate for preterm labor statistically significantly decreased for laparoscopy group (P value = 0.014). Reduced operative blood loss was found in laparoscopy group by 83.81 ml (P value = 0.015). Duration of operation may be longer in the laparoscopy group, but without statistical significance (P value = 0.346). Length of hospital stay was shorter in the laparoscopy group with reduction of 1.95 days (P value < 0.001). CONCLUSIONS: The available low-grade evidence suggests that laparoscopic surgery might be a feasible alternative for pregnant women with adnexal masses.

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)0.000
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.888
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0060.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.301
GPT teacher head0.435
Teacher spread0.134 · 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

Citations53
Published2019
Admission routes1
Has abstractyes

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