Evidence map›Paper›PMID 31222515›Full record

ReviewCurrent diabetes reports2019

Global Updates on Cardiovascular Disease Mortality Trends and Attribution of Traditional Risk Factors.

Ram Jagannathan, Shivani A Patel, Mohammed K Ali, K M Venkat Narayan

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Current diabetes reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05619601 (Gender Differences in Prevention Strategies and Therapeutic Adherence After Acute Myocardial Infarction - GENAMI PREVENTION), which is not on this map. Cited by 176 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
176citing papers in PubMed, 4 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.

NCT05619601 completednot on this mapstarted 2023, after this paper: background citation

Gender Differences in Prevention Strategies and Therapeutic Adherence After Acute Myocardial Infarction - GENAMI PREVENTION

Typeobservational_patient_registrySponsorSpanish Society of CardiologyRan2023 to 2026Enrolled530ConditionsGender Differences, Adherence, Medication, Therapeutic Adherence, Type 1 Acute Myocardial Infarction
3 · Its place in the literature

Who cites it

176 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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116 more citing papers are in PubMed but not listed here.

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

4 authors.

Ram JagannathanDivision of Hospital Medicine, Emory University School of Medicine, 5206 Woodruff Memorial Research Building, 101 Woodruff Circle, Atlanta, GA, 30322, USA. ram.jagannathan@emory.edu.
Shivani A PatelRollins School of Public Health, Emory University, Atlanta, GA, USA.
Mohammed K AliRollins School of Public Health, Emory University, Atlanta, GA, USA.
K M Venkat NarayanRollins School of Public Health, Emory University, Atlanta, GA, USA.

Funding

Translational Research Core - Engagement and Behavior ChangeP30DK111024 · NIDDK · EMORY UNIVERSITY · PI Mohammed Kumail Ali · 2016 to 2026
$13.4M
Worksite Lifestyle Program for Reducing Diabetes and Cardiovascular Risk in IndiaR01HL125442 · NHLBI · EMORY UNIVERSITY · PI PRABHAKARAN, DORAIRAJ, WEBER, MARY BETH · 2015 to 2019
$3.3M
Integrated Tracking, Referral, and Algorithmic Management (I-TREC) System for Hypertension and DiabetesU01HL138635 · NHLBI · ALL-INDIA INSTITUTE OF MEDICAL SCIENCES · PI TANDON, NIKHIL · 2017 to 2021
$1.3M
NHLBI NIH HHS R01 HL125442NHLBI NIH HHS U01 HL138635NIDDK NIH HHS P30 DK111024
6 · The paper itself

Abstract

purpose of reviewThe last 2-3 decades have witnessed a decline in age-standardized cardiovascular mortality rates in high-income regions, whereas this has only slightly decreased or even increased in most of the low- and middle-income countries. A systematic comparison of global CVD mortality by regions attributable to various modifiable risk factors such as diabetes, obesity, hypertension, poor diet, and physical inactivity is not available. RECENT

findingsWe present a summary of time trends and heterogeneity in the distribution of global CVD mortality and the attribution of risk factors between 1990 and 2017 using the Global Burden of Disease (GBD) 2017 study. Globally, an estimated ~ 17.8 million (233.1 per 100,000) people died of CVD in 2017. The rate of CVD death was decreased in high-income countries (1990: 271.8 (95% UI (uncertainty interval), 270.9-273.5); 2017: 128.5 (95% UI, 126.4-130.7) per 100,000)) whereas it remained the same in lower- and middle-income countries (1990: 368.2 (95% UI, 335.6-383.3); 2017: 316.9 (95% UI, 307.0-325.5) per 100,000). Among the various traditional risk factors, high systolic blood pressure, unhealthy diet, high fasting plasma glucose, and high low-density lipoprotein levels were attributed to most of the CVD death and disability-adjusted life year lost. We also observed gender variations in tobacco and increased alcohol consumption. In addition to the traditional risk factors, poor air quality is associated with increased CVD burden in developing countries. Surveillance, country-specific guidelines, evidence-based policies, reinforcement of multisectoral health systems, and innovative solutions are urgently needed in resource-challenged settings to curb CVD risk factors and overall burden.

Indexed as

Cardiovascular DiseasesLife ExpectancyGlobal Burden of DiseaseGlobal HealthHumansRisk FactorsBody mass indexCardiovascular diseasesDisparitiesEvidence-based medicineGlobal burden of diseasesHypertensionNon-communicable diseasesRisk factorsThe epidemiological transitionType 2 diabetes

Identifiers

PMID31222515

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.