Evidence map›Paper›PMID 34266662›Full record

Observational studyFertility and sterility2021

Development and validation of a risk prediction index for severe maternal morbidity based on preconception comorbidities among infertile patients.

Gayathree Murugappan, Ruben J Alvero, Deirdre J Lyell, Abha Khandelwal, Stephanie A Leonard

Open access · greenAbstract readObservational StudyValidation Study
In one paragraph

Observational study in Fertility and sterility, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. 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 at 1 institution in 1 country.

Gayathree MurugappanDivision of Reproductive Endocrinology, Department of Obstetrics and Gynecology, Stanford University, Sunnyvale, California. Electronic address: gm807@stanford.edu.
Ruben J AlveroDivision of Reproductive Endocrinology, Department of Obstetrics and Gynecology, Stanford University, Sunnyvale, California.
Deirdre J LyellDivision of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Stanford University, Stanford, California.
Abha KhandelwalDivision of Cardiovascular Medicine, Stanford University, Stanford, California.
Stephanie A LeonardDepartment of Obstetrics and Gynecology, Stanford University, Stanford, California.
Stanford University · US

Funding

Stanford Women's Reproductive Health Research Career Development ProgramK12HD103084 · NICHD · STANFORD UNIVERSITY · PI LESLEE L SUBAK · 2020 to 2026
$2.2M
NICHD NIH HHS K12 HD103084
6 · The paper itself

Abstract

objectiveTo develop and validate a preconception risk prediction index for severe maternal morbidity (SMM), defined by the Centers for Disease Control and Prevention as indicators of a life-threatening complication, among infertile patients.

designRetrospective analysis of live births and stillbirths from 2007 to 2017 among infertile women.

settingNational commercial claims database. PATIENT(S): Infertile women identified on the basis of diagnosis, testing, or treatment codes. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): The primary outcome was SMM, identified as any indicator from the Centers for Disease Control and Prevention Index except blood transfusion alone, which was found to overestimate cases. Twenty preconception comorbidities associated with a risk of SMM were selected from prior literature. Targeted ensemble learning methods were used to rank the importance of comorbidities as potential risk factors for SMM. The independent strength of the association between each comorbidity and SMM was then used to define each comorbidity's risk score. RESULT(S): Among 94,097 infertile women with a delivery, 2.3% (n = 2,181) experienced an SMM event. The highest risk of SMM was conferred by pulmonary hypertension, hematologic disorders, renal disease, and cardiac disease. Associated significant risks were lowest for substance abuse disorders, prior cesarean section, age ≥40 years, gastrointestinal disease, anemia, mental health disorders, and asthma. The receiver operating characteristic area under the curve for the developed comorbidity score was 0.66. Calibration plots showed good concordance between the predicted and actual risk of SMM. CONCLUSION(S): We developed and validated an index to predict the probability of SMM on the basis of preconception comorbidities in patients with infertility. This tool may inform preconception counseling of infertile women and support maternal health research initiatives.

Indexed as

Decision Support TechniquesMaternal HealthAdultComorbidityDatabases, FactualFemaleHumansInfertilityLive BirthPredictive Value of TestsPregnancyPregnancy ComplicationsPregnancy RateReproducibility of ResultsReproductive Techniques, AssistedRetrospective Studiesinfertilitypreconception counselingSevere maternal morbidity

Identifiers

PMID34266662
PMCPMC8585684
OpenAlexW3179341952

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.