Evidence map›Paper›PMID 28413829›Full record

ArticleJournal of global oncology2016

Prioritizing US Cervical Cancer Prevention With Results From a Geospatial Model.

Jonathan K Kish, Alicia I Rolin, Zhaohui Zou, James E Cucinelli, Zaria Tatalovich, Mona Saraiya, Sean F Altekruse

Open access · goldAbstract read
In one paragraph

Article in Journal of global oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

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  7. Disparities in women's cancer-related quality of life by Southern Appalachian residence.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2018
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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

7 authors at 1 institution in 1 country.

Jonathan K KishNational Cancer Institute, Rockville.
Alicia I RolinNational Cancer Institute, Rockville.
Zhaohui ZouInformation Management Services, Silver Spring, MD.
James E CucinelliInformation Management Services, Silver Spring, MD.
Zaria TatalovichNational Cancer Institute, Rockville.
Mona SaraiyaCenters for Disease Control and Prevention, Atlanta, GA.
Sean F AltekruseNational Cancer Institute, Rockville.
National Cancer Institute · MY

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

purposeTo determine if differences in screening and vaccination patterns across the population may accentuate ethnic and geographic variation in future burden of disease.

methodsUsing Cancer in North America data provided by the North American Association of Central Cancer Registries, county cervical cancer incidence trends from 1995 to 2009 were modeled for the entire United States using ecologic covariates. Rates for health service areas were also modeled by ethnicity. State-level incidence was mapped together with Papanicolaou (Pap) screening, past 3 years (women ≥ 18 years old), and three-dose human papillomavirus (HPV) vaccine coverage (girls 13 to 17 years old) to identify potential priority areas for preventive services.

resultsUS cervical cancer incidence decreased more during the periods 1995 to 1999 and 2000 to 2004 than during the period 2005 to 2009. During these 15 years, the most affected areas became increasingly confined to Appalachia, the lower Mississippi Valley, the Deep South, Texas, and Florida. Hispanic and black women experienced a higher incidence of cervical cancer than both white and Asian and Pacific Islander women during each period. Women in 10 of 17 states/districts with a high incidence (≥ 8.14/100,000) reported low Pap testing (< 78.5%), HPV vaccine coverage (< 33.9%), or both prevention technologies.

conclusionThe decline in cervical cancer incidence has slowed in recent years. Access to HPV vaccination, targeted screening, and treatment in affected populations is needed to reduce cervical cancer disparities in the future.

Identifiers

PMID28413829
PMCPMC5389457
OpenAlexW2339604929

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.