Evidence map›Paper›PMID 30911588›Full record

ArticleCogent medicine2018

Accuracy of self-perceived risk for common conditions.

Phyllis Brawarsky, Katyuska Eibensteiner, Elissa V Klinger, Heather J Baer, George Getty, E John Orav, Graham Colditz, Jennifer S Haas

Open access · goldAbstract read
In one paragraph

Article in Cogent medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. 'Primary health care research & development · 2023
    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

8 authors at 2 institutions in 1 country.

Phyllis BrawarskyDivision of General Medicine and Primary Care, Brigham & Women's Hospital.
Katyuska EibensteinerDivision of General Medicine and Primary Care, Brigham & Women's Hospital.
Elissa V KlingerDivision of General Medicine and Primary Care, Brigham & Women's Hospital.
Heather J BaerDivision of General Medicine and Primary Care, Brigham & Women's Hospital.
George GettyDivision of General Medicine and Primary Care, Brigham & Women's Hospital.
E John OravDivision of General Medicine and Primary Care, Brigham & Women's Hospital.
Graham ColditzWashington University School of Medicine.
Jennifer S HaasDivision of General Medicine and Primary Care, Brigham & Women's Hospital.
Brigham and Women's Hospital · USHarvard University · US

Funding

Promoting personalized decisions for breast cancer screening for women AND theirU54CA163307 · NCI · DARTMOUTH COLLEGE · PI HAAS, JENNIFER S, ONEGA, TRACY · 2011 to 2017
$6.1M
Health IT Enhanced Family Health History Documentation & Management in Primary CaR18HS018644 · AHRQ · BRIGHAM AND WOMEN'S HOSPITAL · PI HAAS, JENNIFER S · 2011 to 2013
$1.1M
AHRQ HHS R18 HS018644NCI NIH HHS U54 CA163307
6 · The paper itself

Abstract

backgroundAccurate awareness of common disease risk is necessary to promote healthy lifestyles and to prevent unnecessary anxiety and evaluation. Our objective is to identify characteristics of patients who do not accurately perceive their risk of developing coronary heart disease (CHD), diabetes (DM), breast cancer (BC) and colorectal cancer (CRC).

methodsUsing personalized disease risk reports and risk perception surveys, subjects (n = 4703) were classified as high or low/average risk and high or low/average

resultsPatients at high risk for DM, BC and CRC often (60%-75% of the time) under-estimated their risk, while low/average risk patients overestimated their risk 13%-40% of the time. For CHD, under-estimation by high risk individuals approximated over-estimation by low/average individuals. Compared to normal weight patients at high risk for cancer, obese patients were more likely to under-estimate their risk for BC (OR 3.1, CI 1.9-5.0) and CRC (2.6, 1.5-4.5) as were overweight patients. Overweight and obese patients at low/average risk of DM or CHD were more likely than normal weight patients to over-estimate their risk. Low/average risk women were more likely than men to over-estimate their risk of DM (1.3, 1.1-1.5) and CHD (1.8, 1.5-2.1).

conclusionsOur data show that body mass index is the factor most consistently associated with incorrect risk perceptions for several common conditions.

Identifiers

PMID30911588
PMCPMC6430213
OpenAlexW2801474333

What OpenQuestion holds

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LicenceCC BY-NC
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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.