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Record W2625442954 · doi:10.1093/ajh/hpx107

Response to Pre-Pregnancy Blood Pressure and Offspring Sex in the HUNT Study, Norway

2017· letter· en· W2625442954 on OpenAlexaff
Ravi Retnakaran, Shi Wu Wen, Hongzhuan Tan, Shujin Zhou, Chang Ye, Minxue Shen, Graeme N. Smith, Mark Walker

Bibliographic record

VenueAmerican Journal of Hypertension · 2017
Typeletter
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsQueen's UniversityOttawa HospitalUniversity of OttawaMount Sinai HospitalLunenfeld-Tanenbaum Research InstituteUniversity of Toronto
Fundersnot available
KeywordsMedicineOffspringBlood pressurePregnancyObstetricsPhysiologyGynecologyInternal medicineGenetics

Abstract

fetched live from OpenAlex

We thank Haug et al. for their interest in our recent findings on maternal blood pressure prior to pregnancy and subsequent sex of the baby at delivery.1,2 As previously reported,1 in 1,411 women participating in a prospective preconception cohort study in China, we noted that maternal systolic blood pressure measured at median 26.3 weeks prior to pregnancy was higher in those who went on to deliver a boy, as compared to those who delivered a girl (both before and after covariate adjustment). Furthermore, on logistic regression analyses, maternal pregravid systolic blood pressure emerged as the only significant predictor of subsequently delivering a male baby.1 As this association certainly requires confirmation in other populations, we read with interest the letter by Haug et al. describing a comparable analysis in 2,427 women from Norway.2 They found no significant difference in blood pressure at median 3 years before pregnancy in those who delivered a boy as compared to those who delivered a girl. The question thus arises of how to reconcile these conflicting findings. In this regard, Haug et al. note 2 differences between the studies that may be relevant to the conflicting findings. The first is that the study populations are quite different in their ethnic composition, with one study performed in China and the other in Norway. We concur that one would not expect fundamental biologic relationships to differ between ethnic groups, although we cannot exclude the possibility of unrecognized differences between populations (particularly in the context of observational study designs). A more important difference may be the timing of the pregravid blood pressure assessment in relation to the pregnancy. Indeed, the studies differed considerably in this regard, in that pregravid blood pressure assessment was much closer to the pregnancy in the Chinese preconception cohort than in the Norwegian study (median 26.3 weeks vs. median 3 years prior to gestation). Although Haug et al. found that blood pressure was not a significant predictor of delivering a boy in the subset of 1,210 women in whom it was measured within 3 years prior to pregnancy,2 it is unclear how near to gestation the blood pressure measurement was performed in this subset and whether differences therein from the median 26.3 weeks in the Chinese cohort may be relevant. It is worth noting that we raised the question of whether there may be underlying physiologic features in a woman that relate to her likelihood of sex-specific fetal loss and hence her likelihood of delivering a boy or girl because of (i) recognition that the population sex ratio at birth can be affected by adverse societal conditions3 and (ii) the recent demonstration of sex-biased fetal loss at different timepoints across human gestation.4 In this context, maternal physiologic features near conception may better reflect the relevant physiology that bears upon subsequent sex-specific fetal loss during gestation. This may be particularly important for a dynamic measure such as blood pressure. While this model remains conjecture at this time, it requires further evaluation in future studies. The authors declared no conflict of interest.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.105

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.031
GPT teacher head0.293
Teacher spread0.262 · 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 designObservational
Domainnot available
GenreEmpirical

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
Published2017
Admission routes1
Has abstractno

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