Evidence map›Paper›PMID 25073780›Full record

ArticleBMC pregnancy and childbirth2014

Retrospective analysis of the diagnostic yield of newborn drug testing.

Kelly E Wood, Lori L Sinclair, Carolyn D Rysgaard, Frederick G Strathmann, Gwendolyn A McMillin, Matthew D Krasowski

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. The neurobiology of addiction.Annals of the New York Academy of Sciences · 2019
    Article
  6. Review
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  8. 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

6 authors at 4 institutions in 1 country.

Kelly E WoodStead Family Department of Pediatrics, University of Iowa Children's Hospital, Iowa City, IA 52242, USA. kelly-wood@uiowa.edu.
Lori L Sinclair
Carolyn D Rysgaard
Frederick G Strathmann
Gwendolyn A McMillin
Matthew D Krasowski
University of Iowa Hospitals and Clinics · USARUP Laboratories (United States) · USUniversity of Iowa Stead Family Children’s Hospital · USUniversity of Utah · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe objective of this study was to identify high-yield screening risk factors for detecting maternal non-medical drug use during pregnancy.

methodsA four year retrospective analysis was conducted at an academic medical center. Detailed chart review of both the newborn and mother's medical record was performed on all cases for which one or more drug(s) or metabolite(s) were identified and confirmed in meconium or urine.

results229 (9.2%) of 2,497 meconium samples out of 7,749 live births confirmed positive for one or more non-medical drugs. History of maternal non-medical drug and/or tobacco use in pregnancy was present in 90.8% of non-medical drug use cases. Addition of social risk factors and inadequate prenatal care increased the yield to 96.9%.

conclusionsUse of focused screening criteria based on specific maternal and social risk factors may detect many prenatal non-medical drug exposures.

Indexed as

UrinalysisAdolescentAdultAmphetaminesAnalgesics, OpioidBenzodiazepinesCocaineDronabinolFemaleHumansIllicit DrugsInfant, NewbornMeconiumPregnancyPrenatal CareRetrospective StudiesAmphetaminesAnalgesics, OpioidBenzodiazepinesCocaineDronabinolIllicit Drugs

Identifiers

PMID25073780
PMCPMC4124162
OpenAlexW2046172728

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.