Evidence map›Paper›PMID 23335117›Full record

ArticlePharmacoepidemiology and drug safety2013

Validation of an algorithm to estimate gestational age in electronic health plan databases.

Qian Li, Susan E Andrade, William O Cooper, Robert L Davis, Sascha Dublin, Tarek A Hammad, Pamala A Pawloski, Simone P Pinheiro, Marsha A Raebel, Pamela E Scott and 5 more

Abstract readValidation Study
In one paragraph

Article in Pharmacoepidemiology and drug safety, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 2 pooled it
3.6field-weighted citation impact, top 7% of its field
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

64 citing papers in PubMed, 2 syntheses or guidelines pooled it, 110 citations in OpenAlex.

  1. Pooled it
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  16. Ambulatory care utilization in the first 24 months' postpartum by rurality and pregnancy-related conditions: A prospective cohort study from Maine.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2025
    Article
  17. Pregnancy episodes in All of Us: harnessing multi-source data for pregnancy-related research.Journal of the American Medical Informatics Association : JAMIA · 2024
    Article
  18. Review
  19. Article
  20. Timing of treatment for opioid use disorder among birthing people.Journal of substance use and addiction treatment · 2024
    Article

4 more citing papers are in PubMed but not listed here.

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

15 authors at 10 institutions in 1 country.

Qian LiDepartment of Epidemiology, Harvard School of Public Health, Boston, MA, USA.
Susan E Andrade
William O Cooper
Robert L Davis
Sascha Dublin
Tarek A Hammad
Pamala A Pawloski
Simone P Pinheiro
Marsha A Raebel
Pamela E Scott
David H Smith
Inna Dashevsky
Katherine Haffenreffer
Karin E Johnson
Sengwee Toh
Center for Drug Evaluation and Research · USHarvard University · USKaiser Permanente Washington Health Research Institute · USHarvard Pilgrim Health Care · USHealthPartners · USKaiser Permanente · USKaiser Permanente Center for Health Research · USSoutheast Health District · USUniversity of Massachusetts Chan Medical School · USVanderbilt University · US

Funding

Pharmacepidemiology in the elderly: medications pneumonia risk and confoundingK23AG028954 · NIA · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI DUBLIN, SASCHA · 2007 to 2011
$864k
NIA NIH HHS K23 AG028954NIA NIH HHS K23AG028954
6 · The paper itself

Abstract

purposeTo validate an algorithm that uses delivery date and diagnosis codes to define gestational age at birth in electronic health plan databases.

methodsUsing data from 225,384 live born deliveries to women aged 15-45 years in 2001-2007 within eight of the 11 health plans participating in the Medication Exposure in Pregnancy Risk Evaluation Program, we compared (1) the algorithm-derived gestational age versus the "gold-standard" gestational age obtained from the infant birth certificate file and (2) the prenatal exposure status of two antidepressants (fluoxetine and sertraline) and two antibiotics (amoxicillin and azithromycin) as determined by the algorithm-derived versus the gold-standard gestational age.

resultsThe mean algorithm-derived gestational age at birth was lower than the mean obtained from the birth certificate file among singleton deliveries (267.9 vs 273.5 days) but not among multiple-gestation deliveries (253.9 vs 252.6 days). The algorithm-derived prenatal exposure to the antidepressants had a sensitivity and a positive predictive value of ≥95%, and a specificity and a negative predictive value of almost 100%. Sensitivity and positive predictive value were both ≥90%, and specificity and negative predictive value were both >99% for the antibiotics.

conclusionsA gestational age algorithm based upon electronic health plan data correctly classified medication exposure status in most live born deliveries, but trimester-specific misclassification may be higher for drugs typically used for short durations.

Indexed as

AlgorithmsGestational AgeAdolescentAdultAnti-Bacterial AgentsAntidepressive AgentsBirth CertificatesDatabases, FactualDelivery, ObstetricFemaleHumansInfant, NewbornInternational Classification of DiseasesMiddle AgedPharmacoepidemiologyPredictive Value of TestsAnti-Bacterial AgentsAntidepressive Agents

Identifiers

PMID23335117
PMCPMC3644383
OpenAlexW2152845696

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.