Evidence map›Paper›PMID 34258177›Full record

ArticlePreventive medicine reports2021

Patient, provider, and clinic factors associated with the use of cervical cancer screening.

Jennifer S Haas, Christine Vogeli, Liyang Yu, Steven J Atlas, Celette Sugg Skinner, Kimberly A Harris, Sarah Feldman, Jasmin A Tiro

Open access · goldAbstract read
In one paragraph

Article in Preventive medicine reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.4field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 22 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Assessing Disparities in Cervical Cancer Screening with Pap Test by Disability Types.Journal of cancer education : the official journal of the American Association for Cancer Education · 2024
    Article
  9. Article
  10. Article
  11. Organized Breast and Cervical Cancer Screening: Attendance and Determinants in Rural China.International journal of environmental research and public health · 2022
    Article
  12. 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

8 authors at 3 institutions in 1 country.

Jennifer S HaasDivision of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Christine VogeliMongan Institute, Massachusetts General Hospital, Boston, MA, United States.
Liyang YuDivision of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Steven J AtlasDivision of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Celette Sugg SkinnerDepartment of Population & Data Sciences and Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, United States.
Kimberly A HarrisDivision of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Sarah FeldmanDivision of Gynecologic Oncology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Jasmin A TiroDepartment of Population & Data Sciences and Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, United States.
Massachusetts General Hospital · USHarvard University · USThe University of Texas Southwestern Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical cancer screening delivery remains suboptimal. Understanding the multiple influences on use of screening is important to designing interventions. We describe the influence of patient, primary care provider (PCP), and clinic characteristics on whether a woman is up-to-date with cervical screening as of December 2016. PCPs (n = 194) and their female screen-eligible patients age 21-65 years (n = 32,115) were included in this cross-sectional analysis of patients from two primary care networks linked to a contemporaneous PCP survey. Principal independent variables

Indexed as

Cervical cancer screeningPhysician factorsPractice patterns

Identifiers

PMID34258177
PMCPMC8254123
OpenAlexW3174429952

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.