Evidence map›Paper›PMID 25836319›Full record

ArticleJournal of perinatology : official journal of the California Perinatal Association2015

Standard methods based on last menstrual period dates misclassify and overestimate US preterm births.

C S Ambrose, H Caspard, C Rizzo, E C Stepka, G Keenan

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Article in Journal of perinatology : official journal of the California Perinatal Association, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Review
  8. Quantifying bias between reported last menstrual period and ultrasonography estimates of gestational age in Lusaka, Zambia.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2019
    Article
  9. Article
  10. Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

C S AmbroseMedical Affairs, AstraZeneca, Gaithersburg, MD, USA.
H CaspardMedical Affairs, AstraZeneca, Gaithersburg, MD, USA.
C RizzoMedical Affairs, AstraZeneca, Gaithersburg, MD, USA.
E C StepkaDepartment of Pediatrics, University of Minnesota, Minneapolis, MN, USA.
G KeenanMedical Affairs, AstraZeneca, Gaithersburg, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare number of US preterm births based on obstetric versus last menstrual period (LMP) estimates and evaluate their correlations with clinical risk indicators associated with prematurity. STUDY

designPreterm births were assessed from LMP, per standard practice, and, separately, from obstetric estimates using the 2012 Natality Public Use File. Percentages of infants with neonatal intensive care unit (NICU) admission and low birth weight (LBW) were calculated.

resultMore births were <37 weeks gestational age (GA) by reported LMP (11.4%) versus obstetric estimates (9.5%). Among infants preterm by LMP, but born at 37-41 weeks by obstetric estimates, there were 5.7% NICU admission and 7.7% LBW rates versus 25.2% and 35.4%, respectively, of those preterm by obstetric estimates but born 37-41 weeks by LMP assessments.

conclusionObstetric estimates provide the most clinically relevant estimates of US preterm births. Assessments calculated from LMP alone may overestimate prematurity incidence by ~20%.

Indexed as

Gestational AgeBirth CertificatesHumansMenstrual CyclePremature BirthReproducibility of ResultsUnited States

Identifiers

PMID25836319

What OpenQuestion holds

Textmetadata
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.