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Cyclooxygenase inhibitors for treating preterm labour? What is the evidence?

2018· article· en· W3174830204 on OpenAlexaff
Anthony Cuthbert Liwa, Daniela Urrego, William C. Cole, Donna M. Slater

Bibliographic record

VenueThe FASEB Journal · 2018
Typearticle
Languageen
FieldMedicine
TopicPreterm Birth and Chorioamnionitis
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineCyclooxygenaseMyometriumPregnancyDeciduaHomeostasisFetusProstaglandinBioinformaticsInternal medicineEnzymeBiologyPlacentaUterus

Abstract

fetched live from OpenAlex

Background Preterm labour, a condition characterized by regular uterine contractions and cervical dilation prior to 37 weeks of pregnancy can result in premature birth of babies that may not be fully developed and/or possess serious health problems such as cerebral palsy and learning disabilities. Is associated with an increase in uterine prostaglandins (PGs) synthesis by cyclooxygenase (COX) enzymes which promotes inflammatory and contractile processes that drive labour. For this reason, COX inhibitors (e.g. indomethacin) have been used to treat/prevent preterm labour. Despite limited success, tocolysis by COX‐inhibition carries serious adverse fetal effects due to inhibition of prostaglandin‐dependent developmental homeostatic functions. The more recent discovery of a second, inducible COX isoform, COX‐2, presented an opportunity to spare homeostatic prostaglandin by selective inhibition of COX‐2. However, subsequent clinical studies have called into question the appropriateness of COX‐2 selective inhibition. This study reviewed the molecular evidence concerning the role of COX‐2 in human parturition that underpins the rationale of use of COX‐2 inhibitors in the treatment of preterm labour and presents evidence of COX‐2 gene expression in term and preterm human myometrium. Methods For our systematic literature review, we searched MEDLINE and EMBASE databases to identify papers reporting molecular evidence of COX enzyme expression and activity in gestational tissues at term and preterm. Two independent reviewers evaluated abstracts, and qualifying references were reviewed in full text. Data were extracted using a standardized questionnaire. COX‐2 gene expression analysis was conducted on samples of myometrium and decidua from women at term (after 37 weeks) and preterm (below 37 weeks) of gestation, with and without labour using reverse transcriptase‐polymerase chain reaction technique (RT‐PCR). Results Thirty‐five studies were included in the review. Eight studies on fetal membranes (amnion and chorion) reported significantly higher COX expression or activity with labour. However, in the myometrium and decidua, which are the most relevant therapeutic target tissues for uterine contraction, nine reported no labour‐associated differences COX expression. In the myometrium, four studies reported higher levels of COX mRNA with labour, but did not consider protein expression. Our data show spatial (upper versus lower segment) and temporal (labour versus non‐labour) demonstrate differences in COX‐2 expression; at term, expression of COX‐2 is higher in lower segment myometrium and decidua samples from women in term labour ( n=16 ) compared to term non‐labour ( n=18 ), but no significant differences were observed for upper segment samples. Similarly, COX‐2 expression was higher in lower segment preterm labour This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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)0.005
metaresearch head score (Gemma)0.020
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 score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.020
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.004
Bibliometrics0.0050.005
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0020.001
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.027
GPT teacher head0.294
Teacher spread0.268 · 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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Citations0
Published2018
Admission routes1
Has abstractyes

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