Evidence map›Paper›PMID 34553187›Full record

ArticleAmerican journal of preventive cardiology2021

Development and validation of a polysocial risk score for atherosclerotic cardiovascular disease.

Zulqarnain Javed, Javier Valero-Elizondo, Ramzi Dudum, Safi U Khan, Prachi Dubey, Adnan A Hyder, Jiaqiong Xu, Usama Bilal, Bita A Kash, Miguel Cainzos-Achirica and 1 more

Abstract read
In one paragraph

Article in American journal of preventive cardiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
–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

43 citing papers in PubMed.

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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

11 authors.

Zulqarnain JavedDivision of Health Equity & Disparities Research, Center for Outcomes Research, Houston Methodist, Houston (TX), USA.
Javier Valero-ElizondoDivision of Cardiovascular Prevention and Wellness, Department of Cardiology, Methodist DeBakey Heart & Vascular Center, Houston (TX), USA.
Ramzi DudumDivision of Cardiovascular Medicine, Stanford University, Stanford (CA), USA.
Safi U KhanDivision of Cardiovascular Prevention and Wellness, Department of Cardiology, Methodist DeBakey Heart & Vascular Center, Houston (TX), USA.
Prachi DubeyHouston Methodist Hospital, Houston Methodist Research Institute, Houston (TX), USA.
Adnan A HyderMilken Institute School of Public Health, Georgetown Washington University (DC), USA.
Jiaqiong XuDivision of Cardiovascular Prevention and Wellness, Department of Cardiology, Methodist DeBakey Heart & Vascular Center, Houston (TX), USA.
Usama BilalUrban Health Collaborative, Drexel Dornsife School of Public Health, Philadelphia (PA), USA.
Bita A KashCenter for Outcomes Research, Houston Methodist, Houston (TX), USA.
Miguel Cainzos-AchiricaDivision of Health Equity & Disparities Research, Center for Outcomes Research, Houston Methodist, Houston (TX), USA.
Khurram NasirDivision of Health Equity & Disparities Research, Center for Outcomes Research, Houston Methodist, Houston (TX), USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo date, the extent to which social determinants of health (SDOH) may help identify individuals with atherosclerotic cardiovascular disease (ASCVD) - beyond traditional risk factors - has not been quantified using a cumulative social disadvantage approach. The objective of this study was to develop, and validate, a polysocial risk score (PsRS) for prevalent ASCVD in a nationally representative sample of adults in the United States (US).

methodsWe used data from the 2013-2017 National Health Interview Survey. A total of 38 SDOH were identified from the database. Stepwise and criterion-based selection approaches were applied to derive PsRS, after adjusting for traditional risk factors. Logistic regression models were fitted to assign risk scores to individual SDOH, based on relative effect size magnitudes. PsRS was calculated by summing risk scores for individual SDOH, for each participant; and validated using a separate validation cohort.

resultsFinal sample comprised 164,696 adults. PsRS included 7 SDOH: unemployment, inability to pay medical bills, low income, psychological distress, delayed care due to lack of transport, food insecurity, and less than high school education. PsRS ranged from 0-20 and exhibited excellent calibration and discrimination. Individuals with the highest PsRS (5

conclusionsCumulatively, SDOH may help identify individuals with ASCVD, beyond traditional cardiovascular risk factors. In this study, we provide a unique validated PsRS for ASCVD in a national sample of US adults. Future study should target development of similar scores in diverse populations, and incorporate longitudinal study designs.

Indexed as

ASCVDASCVD, atherosclerotic cardiovascular diseaseCardiovascular diseasePolysocial risk scorePsRS, polysocial risk scoreSDOH, social determinants of healthSocial determinants of health

Identifiers

PMID34553187
PMCPMC8441152

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.