Evidence map›Paper›PMID 36406714›Full record

ArticleHeliyon2022

Closing gaps in medication taking for secondary prevention of coronary heart disease patients among US adults.

Xiaowei Liu, Lijiang Tang, Ying Tang, Changqing Du, Xiaofeng Chen, Cheng Xu, Jing Yan

Abstract read
In one paragraph

Article in Heliyon, 2022. 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
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0citing papers in PubMed
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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

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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.

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

7 authors.

Xiaowei LiuThe Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou 310053, PR China.
Lijiang TangDepartment of Cardiology, Zhejiang Hospital, Hangzhou, Zhejiang 310013, PR China.
Ying TangGeriatrics Research Institute of Zhejiang Province, Zhejiang Provincial Key Lab of Geriatrics, Zhejiang Hospital, Hangzhou, Zhejiang 310013, PR China.
Changqing DuDepartment of Cardiology, Zhejiang Hospital, Hangzhou, Zhejiang 310013, PR China.
Xiaofeng ChenDepartment of Radiation Oncology, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
Cheng XuDepartment of Cardiology, Taizhou Hospital, Wenzhou Medical University, Taizhou, Zhejiang 317000, PR China.
Jing YanThe Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou 310053, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The secondary preventive medical remedies used in the U.S. general population, particularly those with numerous co-morbidities, are poorly understood. We aimed to assess health outcomes and the extent of their adherence to guideline-based secondary prevention medications among U.S. coronary heart disease (CHD) patients. Methods: We analysed information from the U.S. National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018 on people in the United States aged 18 to 85 who had a personal history of coronary heart disease (CHD). Logistic regression analyses were used to identify characteristics related to healthcare access that were linked with not taking any indicated drugs among CHD and other co-morbidity patients in the U.S. Results: We gathered 4256 CHD patients aged 18 and above. Angiotensin-converting enzyme inhibitors/angiotensin receptor blockers (ACEIs/ARBs), statins, and antiplatelet medications were taken by 50.94%, 48.26%, 53.41 %, and 19.78% of the population, respectively. Surprising, not received recommended drugs was reached up to 21.12%, and taking all four drugs was only 7.64%. In conclusion, the logistic regression analysis revealed that the chance of not taking prescribed drugs increased with age (18-39), race (Hispanic and Non-Hispanic Black), low income, lack of insurance, and the absence of co-morbidities (hypertension, heart failure, and diabetes mellitus). Conclusions: The gap between the proposed secondary preventative measures and their actual execution remains sizable. In order to achieve 'Healthy Aging', a systematic approach for prevention of CHD is urgently needed.

Indexed as

Co-morbiditiesCoronary heart diseaseMedicationsSecondary prevention

Identifiers

PMID36406714
PMCPMC9667245

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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.