Evidence map›Paper›PMID 34100233›Full record

ArticleJournal of general internal medicine2021

Patient Risk Interpretation of Symptoms Model (PRISM): How Patients Assess Cardiac Risk.

Catherine Kreatsoulas, Cameron Taheri, Niveditha Pattathil, Puru Panchal, Tanya Kakkar

Open access · bronzeAbstract read
In one paragraph

Article in Journal of general internal medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 19% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 5 institutions in 2 countries.

Catherine KreatsoulasHarvard TH Chan School of Public Health, Boston, MA, USA. ckreats@hsph.harvard.edu.ORCID http://orcid.org/0000-0001-9542-8453
Cameron TaheriTemerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
Niveditha PattathilFaculty of Health Sciences, School of Medicine, Queen's University, Kingston, ON, Canada.
Puru PanchalFaculty of Health Sciences, Michael G DeGroote School of Medicine, McMaster University, Hamilton, ON, Canada.
Tanya KakkarPublic Health Agency of Canada, Ottawa, ON, Canada.
Boston University · USHamilton Health Sciences · CAPublic Health Agency of Canada · CAQueen's University · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile there is a prevailing perception that coronary artery disease (CAD) is a "man's disease," little is known about the factors which influence cardiac risk assessment and whether it varies by gender.

objectives1) Qualitatively capture the complexity of cardiac risk assessment from a patient-centered perspective. 2) Explore how risk assessment may vary by gender. 3) Quantitatively validate qualitative findings among a new sample.

designThis study was conducted in two parts: (1) semi-structured in-depth interviews were audio-recorded, transcribed verbatim, and analyzed using modified grounded theory; (2) emergent themes were surveyed in a separate sample to validate findings quantitatively. Differences were estimated using 2-tailed t-tests and kappa.

participantsParticipants who were referred for their first elective coronary angiogram for suspected CAD with at least 1 prior abnormal test were recruited from a tertiary care hospital. MAIN MEASURES: Patient-centered themes were derived from part one. In part two, patients estimated the probability that their symptoms were heart-related at multiple time points.

resultsPart 1 included 14 men and 17 women (mean age=63.3±11.8 years). Part 2 included 237 patients, of which 109 (46%) were women (mean age=66.0±11.3 years). Part 1 revealed that patients' risk assessment evolves in three distinct phases, which were captured using an Ishikawa framework entitled "Patient Risk Interpretation of Symptoms Model" (PRISM). Part 2 validated PRISM findings; while patients were more likely to attribute their symptoms to CAD over time (phase 1 vs. 3: 21% vs. 73%, p<0.001), women were marginally less likely than men to perceive symptoms as heart-related by phase 3 (67% women vs. 78% men, p=0.054).

conclusionsPatient assessment of CAD risk evolves, and women are more likely to underestimate their risk than men. PRISM may be used as a clinical aid to optimize patient-centered care. Future studies should validate PRISM in different clinical settings.

Indexed as

Coronary Artery DiseaseAgedCoronary AngiographyFemaleHeartHumansMaleMiddle AgedRisk AssessmentRisk FactorsSex Factorscoronary artery diseasegender differencesmixed methodspatient perspectiverisk perception

Identifiers

PMID34100233
PMCPMC8342696
OpenAlexW3170457999

What OpenQuestion holds

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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.