Evidence map›Paper›PMID 32251065›Full record

ArticleEpidemiology (Cambridge, Mass.)2020

Integrating Surveillance Data to Estimate Race/Ethnicity-specific Hysterectomy Inequalities Among Reproductive-aged Women: Who's at Risk?

Danielle R Gartner, Paul L Delamater, Robert A Hummer, Jennifer L Lund, Brian W Pence, Whitney R Robinson

Abstract read
In one paragraph

Article in Epidemiology (Cambridge, Mass.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Review
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  13. Uterine Factor Infertility, a Systematic Review.Journal of clinical medicine · 2022
    Review
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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

6 authors.

Danielle R GartnerFrom the Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC.
Paul L DelamaterCarolina Population Center, University of North Carolina, Chapel Hill, Chapel Hill, NC.
Robert A HummerCarolina Population Center, University of North Carolina, Chapel Hill, Chapel Hill, NC.
Jennifer L LundFrom the Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC.
Brian W PenceFrom the Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC.
Whitney R RobinsonFrom the Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC.

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI David Darr · 1985 to 2026
$201.5M
Re-Entry Supplement: Investigation of Oral Microbial Enzymes for the Detection and Treatment of Periodontal DiseaseUL1TR002489 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, SHAHEEN, NICHOLAS J · 2018 to 2022
$48.6M
North Carolina Translational & Clinical Sciences Institute (NC TraCS)UL1TR001111 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, CAREY, TIMOTHY S · 2013 to 2017
$43.9M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Training ProgramU54CA153602 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GODLEY, PAUL A. · 2010 to 2015
$5.4M
Racial Differences in Treatment with Hysterectomy: a Multilevel InvestigationR01MD011680 · NIMHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ROBINSON, WHITNEY RAGAN · 2017 to 2021
$3.3M
Non-Clinical and Contextual Factors Associated with Hysterectomy in North CarolinaF31HD090934 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GARTNER, DANIELLE ROSE · 2017 to 2018
$89k
NCATS NIH HHS UL1 TR001111NCATS NIH HHS UL1 TR002489NCI NIH HHS P30 CA016086NCI NIH HHS U54 CA153602NICHD NIH HHS F31 HD090934NICHD NIH HHS P2C HD050924NIMHD NIH HHS R01 MD011680
6 · The paper itself

Abstract

backgroundInequalities by race and ethnicity in hysterectomy for noncancerous conditions suggest that some subgroups may be shouldering an unfair burden of procedure-associated negative health impacts. We aimed to estimate race- and ethnicity-specific rates in contemporary hysterectomy incidence that address three challenges in the literature: exclusion of outpatient procedures, no hysterectomy prevalence adjustment, and paucity of non-White and non-Black estimates.

methodsWe used surveillance data capturing all inpatient and outpatient hysterectomy procedures performed in North Carolina from 2011 to 2014 (N = 30,429). Integrating data from the Behavior Risk Factor Surveillance System and US Census population estimates, we calculated prevalence-corrected hysterectomy incidence rates and differences by race and ethnicity.

resultsPrevalence-corrected estimates show that non-Hispanic (nH) Blacks (62, 95% confidence interval [CI] = 61, 63) and nH American Indians (85, 95% CI = 79, 93) per 10,000 person-years (PY) had higher rates, compared with nH Whites (45 [95% CI = 45, 46] per 10,000 PY), while Hispanic (20, 95% CI = 20, 21) and nH Asian/Pacific Islander rates (8, 95% CI = 8.0, 8.2) per 10,000 PY were lower than nH Whites.

conclusionThrough strategic surveillance data use and application of bias correction methods, we demonstrate wide differences in hysterectomy incidence by race and ethnicity. See video abstract at, http://links.lww.com/EDE/B657.

Indexed as

EthnicityHealthcare DisparitiesHysterectomyAdolescentAdultBehavioral Risk Factor Surveillance SystemFemaleHumansNorth CarolinaRiskYoung Adult

Identifiers

PMID32251065
PMCPMC7380502

What OpenQuestion holds

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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.