Evidence map›Paper›PMID 25262453›Full record

ArticleAmerican journal of perinatology2015

The utility of ICD9-CM codes in identifying induction of labor.

Lisa D Levine, Meghana Limaye, Sindhu K Srinivas

Open access · greenAbstract read
In one paragraph

Article in American journal of perinatology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Medical indications for primary cesarean delivery in women with and without disabilities.The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians · 2020
    Article
  3. Article
  4. Article
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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

3 authors at 1 institution in 1 country.

Lisa D LevineDepartment of Obstetrics and Gynecology, Maternal and Child Health Research Program, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania.
Meghana LimayeDepartment of Obstetrics and Gynecology, Maternal and Child Health Research Program, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania.
Sindhu K SrinivasDepartment of Obstetrics and Gynecology, Maternal and Child Health Research Program, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania.
University of Pennsylvania · US

Funding

REPRODUCTIVE EPIDEMIOLOGY TRAINING GRANTT32HD007440 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI BARNHART, KURT T · 1996 to 2020
$7.5M
WOMENS REPRODUCTIVE HEALTH RESEARCH CAREER DEVELOPMENTK12HD001265 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI Elizabeth A Howell · 1998 to 2026
$7.5M
NICHD NIH HHS 5T32HD007440-15NICHD NIH HHS K12 HD001265NICHD NIH HHS K12-HD001265-14NICHD NIH HHS T32 HD007440
6 · The paper itself

Abstract

backgroundData evaluating the accuracy of ICD9-CM codes in identifying inductions are limited. Our objective was to examine the test characteristics of ICD9-CM coding for induction of labor and to identify differences between those captured by coding and those not.

methodsWe performed a retrospective cohort study of ICD9-CM codes in identifying charts of induced women at our institution from 2005 to 2009. Review of the medical record was the gold standard. Characteristics of the charts were compared using Mann-Whitney U tests and chi-square tests where appropriate.

resultsA total of 3,263 women were included, 708 with ICD9-CM coding for induction (screen positive). A total of 422 women were randomly sampled from those not coded as induction (screen negative). The sensitivity of ICD9-CM coding for induction was 51.4%, specificity 98.8%, positive predictive value 96.6%, negative predictive value 74.7%. False negative charts (25%) were more likely to be women induced for premature rupture of membranes (40% versus 8%, p < 0.001) or with oxytocin (51% versus 33%, p < 0.001) when compared with screen positive charts.

conclusionsIt is reassuring that 97% of charts coded for induction by ICD9-CM codes are, in fact, patients that were induced. With this degree of accuracy, we can be confident that charts coded as induction are unlikely to be miscoded.

Indexed as

AdultClinical CodingFemaleHumansInternational Classification of DiseasesLabor, InducedOxytocinPregnancyPremature Rupture of Fetal MembranesPrognosisRetrospective StudiesSensitivity and SpecificityYoung AdultOxytocin

Identifiers

PMID25262453
PMCPMC4853013
OpenAlexW2331580952

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.