Evidence map›Paper›PMID 22283041›Full record

ArticleJournal of health, population, and nutrition2011

Assessing awareness level about warning signs of cancer and its determinants in an Iranian general population.

Awat Feizi, Anoshirvan Kazemnejad, Mohsen Hosseini, Zohreh Parsa-Yekta, Jamshid Jamali

Abstract read
In one paragraph

Article in Journal of health, population, and nutrition, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

  1. Pooled it
  2. Trial
  3. Article
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  6. Article
  7. Awareness of Cancer Signs and Barriers to Help Seeking: a National Survey.Journal of cancer education : the official journal of the American Association for Cancer Education · 2018
    Article
  8. Article
  9. Health information seeking behavior of female breast cancer patients.Journal of education and health promotion · 2018
    Article
  10. Article
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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

5 authors.

Awat FeiziDepartment of Biostatistics and Epidemiology, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran. awat_feiz@hlth.mui.ac.ir
Anoshirvan Kazemnejad
Mohsen Hosseini
Zohreh Parsa-Yekta
Jamshid Jamali

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study was aimed at investigating the awareness level about warning signs of cancer and its determinants in an Iranian general population. This cross-sectional interview-based survey investigated 2,500 people aged 18 years and over, as a representative sample of Tehran population. Latent class regression was applied for analyzing data. A small (18.8%) proportion of the respondents had high level of knowledge, and 54.5% had moderate awareness, and 26.7% had low level of awareness. Most effective predictors for awareness were educational attainment, sex, and marital status. The findings suggest that the overall level of knowledge about warning signs of cancer among the public is low, particularly about some specific signs. Accordingly, educational and intervention programmes, with special attention placed on particular at-risk populations, to increase awareness about the disease leading to its early diagnosis are needed.

Indexed as

Health Knowledge, Attitudes, PracticeAdolescentAdultCross-Sectional StudiesEducational StatusFemaleHumansIranMaleMarital StatusNeoplasmsOdds RatioRisk FactorsSex DistributionSurveys and QuestionnairesYoung Adult

Identifiers

PMID22283041
PMCPMC3259730

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.