Evidence map›Paper›PMID 25724415›Full record

ArticleCancer causes & control : CCC2015

Breast and cervical cancers diagnosed and stage at diagnosis among women served through the National Breast and Cervical Cancer Early Detection Program.

Jacqueline W Miller, Janet Royalty, Jane Henley, Arica White, Lisa C Richardson

Erratum issuedAbstract read
In one paragraph

Article in Cancer causes & control : CCC, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Jacqueline W MillerDivision of Cancer Prevention and Control, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, 4770 Buford Hwy NE, Mailstop F-76, Atlanta, GA, 30341, USA, JMiller5@cdc.gov.
Janet Royalty
Jane Henley
Arica White
Lisa C Richardson

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

purposeTo assess cancers diagnosed and the stage of cancer at the time of diagnosis among low-income, under-insured, or uninsured women who received services through the National Breast and Cervical Cancer Early Detection Program (NBCCEDP).

methodsUsing the NBCCEDP database, we examined the number and percent of women diagnosed during 2009-2011 with in situ breast cancer, invasive breast cancer, and invasive cervical cancer by demographic and clinical characteristics, including age, race and ethnicity, test indication (screening or diagnostic), symptoms (for breast cancer), and screening history (for cervical cancer). We examined these characteristics by stage at diagnosis, a new variable included in the database obtained by linking with state-based central cancer registries.

resultsThere were 11,569 women diagnosed with invasive breast cancer, 1,988 with in situ breast cancer, and 583 with invasive cervical cancer through the NBCCEDP. Women who reported breast symptoms or who had diagnostic mammography were more likely to be diagnosed with breast cancer, and at a later stage, than those who did not have symptoms or who had screening mammography. Women who had been rarely or never screened for cervical cancer were more likely to be diagnosed with cervical cancer, and at a later stage, than women who received regular screenings.

conclusionsWomen served through the NBCCEDP who have not had prior screening or who have symptoms were more often diagnosed with late-stage disease.

Indexed as

Early Detection of CancerAdultBreastBreast NeoplasmsCervix UteriEthnicityFemaleHumansMammographyMedically UninsuredMiddle AgedNeoplasm StagingPovertyUterine Cervical Neoplasms

Identifiers

PMID25724415
PMCPMC4797940

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Registered trials

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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.