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Record W3180326604 · doi:10.1542/peds.2021-051427

The Timing of Planned Delivery: Is It Time to Make the Case for 41 Weeks?

2021· letter· en· W3180326604 on OpenAlexaff
Whitney Lieb, Siobhan M. Dolan

Bibliographic record

VenuePEDIATRICS · 2021
Typeletter
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsWomen's Health Research InstituteInstitute of Population and Public Health
Fundersnot available
KeywordsMedicineGestationGestational agePregnancyRandomized controlled trialPreeclampsiaObstetricsObservational studyPediatricsSurgeryInternal medicine

Abstract

fetched live from OpenAlex

It has been almost 5 years since I coauthored a commentary on the timing of planned delivery in which I argued that data on improved outcomes continued to strengthen the case for delivery at 39 weeks’ gestation.1,2 At the time, 37 weeks was considered term, and waiting until 39 weeks for planned deliveries had been gaining momentum on the basis of improved outcome data, quality improvement initiatives, and advocacy efforts.3–5 Previously, “term” was an umbrella that encompassed anywhere from 3 weeks before to 2 weeks after the estimated due date. But given the difference in neonatal outcomes, especially in respiratory morbidity, the American College of Obstetricians and Gynecologists added further classifications and defined 37 + 0/7 to 38 + 6/7 weeks’ gestation as early term, 39 + 0/7 to 40 + 6/7 weeks’ gestation as full term, 41 + 0/7 to 41 + 6/7 weeks’ gestation as late term, and 42 + 0/7 weeks’ gestation and beyond as postterm.6 Today, most obstetricians follow guidelines and rather than act at 37 weeks, they wait until 39 weeks to induce low-risk nulliparous women.7,8 But is it possible that 39 weeks is still too early? In this issue of Pediatrics, Hedges et al9 ask us to consider the timing of delivery once again.The ARRIVE trial (A Randomized Trial of Induction Versus Expectant Management) helped strengthen the case for induction at 39 weeks by showing a significant decrease in gestational hypertension, preeclampsia, rate of cesarean delivery, and neonatal respiratory support within the first 72 hours of life, as well as no statistical difference in perinatal mortality and severe perinatal morbidity, in low-risk nulliparous women.5,7,10 Critique of the ARRIVE trial includes selection bias that threatens its external validity, calling into question the generalizability of its findings to all women.11 Although each patient and provider must individually weigh the risks and benefits of induction between 39 and 41 weeks, the guidelines from the American College of Obstetricians and Gynecologists recommend not going past 42 weeks because of an increase in fetal mortality after 41 weeks when compared with 40 weeks.12–14In this issue of Pediatrics, Hedges et al9 examine school performance by gestational age at birth, from 37 to 41 weeks, via teacher-reported math, science, and language skills at 9 years of age. In this US-based study, the authors report a positive association between gestational age and teacher-reported outcomes at 9 years old. Using a continuous measure of gestational age, the authors show a positive association with mathematics when children were delivered late term at 41 weeks and a negative association with language and literacy in children born at 37 to 38 weeks compared with term infants born at 39 to 40 weeks.9These are significant findings and should not be taken lightly. This important research asks us to examine the balance between short- and long-term outcomes. We must admit, as obstetricians, we are often focused on immediate outcomes in the delivery room and the first few days of life. Is the infant breathing? Is the mother stable? But this study reminds us to think about the long-term outcomes, including not only physical health but social and emotional health as well as school performance. Those of us involved in maternal child health must continue to ask ourselves an important question: what defines an optimal outcome? It involves both mother and infant, short- and long-term, and it will take all of us working together, across the bassinette, to continue to do research and think broadly about achieving the best outcomes for all birthing people and their children.This brings us back to the initiation of labor, which remains elusive. As clinicians, we continue to look for an answer to this difficult question: when is the optimal time to be born? For the mother? For the infant? And how do we measure outcomes? At birth? At 6 months? At 9 years? At 18 years? There may not be simple answers, but Hedges et al9 provide valuable data suggesting that improved school-aged performance is observed through 41 weeks.The findings by Hedges et al9 are consistent with previous studies from the United Kingdom,15,16 Scotland,17 New Zealand,18 Australia,19 Denmark,20 Sweden,21 and the United States,22,23 in which early term births are associated with poorer educational outcomes in school-aged children. Furthermore, Hedges et al9 report in this study on data from the Fragile Families and Child Wellbeing Study, which includes a large number of Black, Hispanic, and low-income families in US cities.24 This suggests that the path to reducing disparities and achieving health equity might be furthered by examining practices around induction of labor and the timing of planned delivery.Obstetricians and pediatricians must manage the delicate balance between timing of planned delivery and gestational age when it comes to perinatal outcomes. Collectively, we need more data, and we need to keep reevaluating this question as clinicians. There are many medical indications for early delivery, and clinical judgment will always be needed to manage the optimal time for birth. But this research adds weight to waiting for delivery based on the educational benefits seen at up to 41 weeks.

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)0.030
metaresearch head score (Gemma)0.185
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.030
Threshold uncertainty score0.157

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0300.185
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.001
Science and technology studies0.0040.011
Scholarly communication0.0060.013
Open science0.0060.003
Research integrity0.0250.049
Insufficient payload (model declined to judge)0.0060.003

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 head0.061
GPT teacher head0.336
Teacher spread0.276 · 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".

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Citations1
Published2021
Admission routes1
Has abstractyes

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