Evidence map›Paper›PMID 35202079›Full record

ArticlePharmacy (Basel, Switzerland)2022

Explaining Correlates of Cervical Cancer Screening among Minority Women in the United States.

Manoj Sharma, Kavita Batra, Christopher Johansen, Siddharth Raich

Open access · goldAbstract read
In one paragraph

Article in Pharmacy (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Predicting Physical Activity in Chinese Pregnant Women Using Multi-Theory Model: A Cross-Sectional Study.International journal of environmental research and public health · 2022
    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

4 authors at 1 institution in 1 country.

Manoj SharmaDepartment of Social and Behavioral Health, School of Public Health, University of Nevada, Las Vegas, NV 89119, USA.ORCID 0000-0002-4624-2414
Kavita BatraOffice of Research, Kirk Kerkorian School of Medicine, University of Nevada, Las Vegas, NV 89102, USA.ORCID 0000-0002-0722-0191
Christopher JohansenDepartment of Social and Behavioral Health, School of Public Health, University of Nevada, Las Vegas, NV 89119, USA.ORCID 0000-0002-7501-0970
Siddharth RaichDepartment of Social and Behavioral Health, School of Public Health, University of Nevada, Las Vegas, NV 89119, USA.
University of Nevada, Las Vegas · US

Funding

University of Nevada, Las Vegas PG03008
6 · The paper itself

Abstract

Globally, cervical cancer is the fourth leading cause of death among women. While overall cervical cancer rates have decreased over the last few decades, minority women continue to be disproportionately affected compared to White women. Given the paucity of theory-based interventions to promote Pap smear tests among minority women, this cross-sectional study attempts to examine the correlates of cervical cancer screening by Pap test using the Multi-theory Model (MTM) as a theoretical paradigm among minority women in the United States (U.S.). Structural Equation Modelling (SEM) was done for testing the construct validity of the survey instrument. Data were analyzed through bivariate and multivariate tests. In a sample of 364 minority women, nearly 31% (

Indexed as

cervical cancerminority womenMulti-theory Modelscreening

Identifiers

PMID35202079
PMCPMC8875364
OpenAlexW4213295984

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.