Evidence map›Paper›PMID 37947333›Full record

ArticleJournal of the National Cancer Institute. Monographs2023

Adapting a model of cervical carcinogenesis to self-identified Black women to evaluate racial disparities in the United States.

Jennifer C Spencer, Emily A Burger, Nicole G Campos, Mary Caroline Regan, Stephen Sy, Jane J Kim

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute. Monographs, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Data gaps and opportunities for modeling cancer health equity.Journal of the National Cancer Institute. Monographs · 2023
    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.

Jennifer C SpencerDepartment of Population Health, Dell Medical School, University of Texas at Austin, Austin, TX, USA.ORCID 0000-0001-9508-1525
Emily A BurgerCenter for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Nicole G CamposCenter for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0002-0840-4339
Mary Caroline ReganCenter for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Stephen SyCenter for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Jane J KimCenter for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Funding

Comparative Modeling to Inform Cervical Cancer Control Policies: USPSTF SupplementU01CA253912 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI BARNABAS, RUANNE VANESSA, CANFELL, KAREN · 2020 to 2024
$7.9M
NCI NIH HHS U01 CA253912NCI NIH HHS U01CA253912
6 · The paper itself

Abstract

backgroundSelf-identified Black women in the United States have higher cervical cancer incidence and mortality than the general population, but these differences have not been clearly attributed across described cancer care inequities.

methodsA previously established microsimulation model of cervical cancer was adapted to reflect demographic, screening, and survival data for Black US women and compared with a model reflecting data for all US women. Each model input with stratified data (all-cause mortality, hysterectomy rates, screening frequency, screening modality, follow-up, and cancer survival) was sequentially replaced with Black-race specific data to arrive at a fully specified model reflecting Black women. At each step, we estimated the relative contribution of inputs to observed disparities.

resultsEstimated (hysterectomy-adjusted) cervical cancer incidence was 8.6 per 100 000 in the all-race model vs 10.8 per 100 000 in the Black-race model (relative risk [RR] = 1.24, range = 1.23-1.27). Estimated all-race cervical cancer mortality was 2.9 per 100 000 vs 5.5 per 100 000 in the Black-race model (RR = 1.92, range = 1.85-2.00). We found the largest contributors of incidence disparities were follow-up from positive screening results (47.3% of the total disparity) and screening frequency (32.7%). For mortality disparities, the largest contributor was cancer survival differences (70.1%) followed by screening follow-up (12.7%).

conclusionTo reduce disparities in cervical cancer incidence and mortality, it is important to understand and address differences in care access and quality across the continuum of care. Focusing on the practices and policies that drive differences in treatment and follow-up from cervical abnormalities may have the highest impact.

Indexed as

Healthcare DisparitiesHealth Status DisparitiesUterine Cervical NeoplasmsBlack or African AmericanCarcinogenesisFemaleHumansIncidenceUnited StatesWhite

Identifiers

PMID37947333
PMCPMC10637021

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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.