Evidence map›Paper›PMID 35311110›Full record

SynthesisFrontiers in oncology2022

Determinants of Non-Participation in Population-Based Breast Cancer Screening: A Systematic Review and Meta-Analysis.

Lilu Ding, J Wang, M J W Greuter, M Goossens, Guido Van Hal, Geertruida H de Bock

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 7% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Observational
  18. Article
  19. Article
  20. 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 at 3 institutions in 2 countries.

Lilu DingDepartment of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands.
J WangDepartment of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands.
M J W GreuterDepartment of Radiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands.
M GoossensCenter for Cancer Detection, Flanders, Belgium.
Guido Van HalCenter for Cancer Detection, Flanders, Belgium.
Geertruida H de BockDepartment of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands.
University Medical Center Groningen · NLUniversity of Antwerp · BEUniversity of Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Breast cancer (BC) screening can be performed in a screening program (BCSP) or in opportunistic screening. The existing reviews on the determinants of non-participation depend on self-reported data which may be biased. Furthermore, no distinction was made between the probably different determinants of both screening strategies. Objective: To find the determinants of non-participation in BCSP by means of a meta-analysis. Methods: PubMed, Embase, and Web of Science were searched for observational studies which quantified factors associated with non-participation in BCSP in a general population. Studies on opportunistic screening and studies using self-reported data were excluded. A random-effect model was used to calculate pooled odds ratios (ORs) and 95% confidence intervals (CIs). Potential sources of heterogeneity were explored by stratification of the results. Results: Twenty-nine studies with in a total of 20,361,756 women were included. Low income (OR: 1.20, 95% CI: 1.10-1.30), low education (OR: 1.18, 95% CI: 1.05-1.32), living far from an assigned screening unit (OR: 1.15, 95% CI: 1.07-1.24), being immigrant (OR: 2.64, 95% CI: 2.48-2.82), and having a male family doctor (OR: 1.43, 95% CI: 1.20-1.61) was associated with higher non-participation in screening. Reminders sent to non-attenders and estimations of ORs (adjusted or not) partly explained substantial heterogeneity. Conclusion: In this meta-analysis excluding studies on the non-participation in opportunistic screening, or with self-reported data on non-participation, the well-known determinants for non-participation are still significant, but less strong. This analysis only supports the relevance of meta-analysis of studies with registered non-participation in a BCSP. Systematic Review Registration: PROSPERO, CRD42020154016.

Indexed as

breast cancerdeterminantmammographymass screeningparticipation

Identifiers

PMID35311110
PMCPMC8924365
OpenAlexW4220885815

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.