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Record W2522210080 · doi:10.1111/1471-0528.13968

Antenatal corticosteroids are currently used excessively and more stringent controls on their use should be established: <scp>FOR</scp>: The use of antenatal corticosteroids should be restricted if we are to avoid causing harm

2016· article· en· W2522210080 on OpenAlexaffabout
Elizabeth Asztalos

Bibliographic record

VenueBJOG An International Journal of Obstetrics & Gynaecology · 2016
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineGestationPregnancyPediatricsFetusAdverse effectIntensive care medicineObstetricsInternal medicine

Abstract

fetched live from OpenAlex

Since the landmark trial by Liggins and Howie, antenatal corticosteroid (ACS) therapy has been a prominent therapy option for the management of imminent preterm birth. Its benefits related to enhancing pulmonary maturity are undisputable and a course of ACS is supported by many bodies for women at risk for a preterm birth between 24 and 34 weeks of gestation that is anticipated to be within 1–7 days after administration. Administration of ACS beyond this recommended window is taking place at a rapid pace. Pregnancies involving a pre-viable gestation and those at the late preterm gestation beyond 34 weeks, as well as whether additional doses should be considered, expand the extent to which a now eligible fetus/neonate will be exposed to ACS. However, ACS is not a benign medication. Concern is now arising regarding many elements involving both short-term and long-term consequences of ACS exposure, which include in utero growth suppression, fetal programming and consequences for long-term chronic disease, adverse neurodevelopmental outcomes for the neonate/infant/child, as well as potential consequences for the woman (Kemp et al. Hum Reprod Update 2015 Nov 20;pii:dmv047:1–20). Evidence supports that every effort should prolong a pregnancy until the benefits of delivery outweigh the risks of remaining in utero (Stocket al. Cochrane Database Syst Rev 2012;7:CD008968). However, the anxiety that arises regarding the effects of being born preterm has taken over and has led to a practice that a ‘one size fits all’ approach is the only and best way to address the issue of a potential preterm birth leading to a trend of suboptimal, and questionably inappropriate, treatment with ACS. The magnitude of this approach can be demonstrated by a recent study that evaluated the administration of ACS in a province of Canada where, between 1988 and 2012, over half (52%) of the women who received ACS delivered at ≥35 weeks of gestation, exposing almost 130 000 infants/children to ACS unnecessarily (Razaz et al. Obstet Gynecol 2015;125:288–96). When one considers that this is likely to be similar in other jurisdictions in developed countries, it becomes immeasurable to consider the potential consequences that this practice may have. As clinicians involved in the care of the potential mother–infant dyad, we need to carefully consider when and how ACS should be administered in women thought to be at risk for preterm birth. More efforts should be made to clearly identify how at-risk pregnancies should be identified as it relates to their risk for preterm delivery. We should avoid the ‘one size fits all’ approach and develop mechanisms that help in the assessment of potential spontaneous preterm birth. We should also re-evaluate the trend of iatrogenic late preterm births because this contributes significantly to the incidence of preterm birth and unnecessary use of ACS. Neonatologists should also review their approach in counselling our obstetric colleagues and be mindful of all of the effects of ACS so that we can minimise our contribution to the suboptimal and inappropriate use of ACS. As with all approaches, we need to be eloquent in our care in order to optimise the benefits of a treatment while minimising its risks. This is especially critical when it affects a lifetime and generations to come. Full disclosure of interests available to view online as supporting information. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

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)0.006
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.028
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0130.006

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 head0.228
GPT teacher head0.396
Teacher spread0.169 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations8
Published2016
Admission routes2
Has abstractyes

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