Evidence map›Paper›PMID 28919116›Full record

ArticleLancet (London, England)2017

Global, regional, and national age-sex specific mortality for 264 causes of death, 1980-2016: a systematic analysis for the Global Burden of Disease Study 2016.

GBD 2016 Causes of Death Collaborators

Erratum issued 8 registry-linked trialsOpen access · hybridAbstract read
In one paragraph

Article in Lancet (London, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to 8 registered trials, which are not on this map. Cited by 2,600 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2,600citing papers in PubMed, 5 pooled it
310.4field-weighted citation impact, top 1% 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.

NCT04037995 recruitingnot on this mapstarted 2019, after this paper: background citation

Real World Study of End-stage Liver Disease in China

TypeobservationalSponsorHuashan HospitalRan2019 to 2029Enrolled10,000ConditionsEnd Stage Liver DIsease, ComplicationArmsNo intervation
NCT04483167 phase1unknown statusnot on this mapstarted 2020, after this paper: background citation

Phase I Study, Prospective, Monocentric, Uncontrolled, Non-randomized, Open, Interventional. First Human Administration of an Inflammation Tracer (99mTc-cAbVCAM1-5) Using the Scintigraphy in Healthy Volunteers and Asymptomatic Patients.

TypeinterventionalSponsorUniversity Hospital, GrenobleRan2020 to 2023Enrolled13ConditionsCardiovascular Diseases, AtherosclerosisArms99mTccAbVCAM1-5 injection
NCT04994353 nacompletednot on this mapstarted 2020, after this paper: background citation

Pre-meal High-performance Inulin Supplementation Reduce Post-prandial Glycaemic Response in Healthy Non Diabetic Subjects : a Repeated Single-arm Clinical Trial

TypeinterventionalSponsorUniversitas Katolik Widya Mandala SurabayaRan2020 to 2021Enrolled8ConditionsDiet, HealthyArmsNo supplementation, High Performance (HP) Inulin, Isomalto-oligosaccharide (IMO), Combination HP-Inulin and IMO, Dextrose solution
NCT05593380 nacompletednot on this mapstarted 2022, after this paper: background citation

The Impact of Invasive Intracranial Pressure Monitoring Guided Management on the Functional Outcomes of Patients With Supratentorial Large Volume Cerebral Hemorrhage: An Open Label, Randomized, Controlled, Multi-center Trial (BIATICH)

TypeinterventionalSponsorXiangya Hospital of Central South UniversityRan2022 to 2025Enrolled193ConditionsCerebral Hemorrhage, Hypertensive, Intracranial Hypertension, Monitoring, Critical CareArmsParenchymal Intracranial pressure monitor, Treatment based on clinical and imaging observations
NCT06117826 unknown statusnot on this mapstarted 2024, after this paper: background citation

Incidince of Acute Kidney Injury in Children With Community Acquired Pneumonia at Assiut University Children Hospital

TypeobservationalSponsorAssiut UniversityRan2024 to 2025Enrolled100ConditionsAcute Kidney Injury
NCT06732791 recruitingnot on this mapstarted 2025, after this paper: background citation

A Comparative Analysis of MGAP and GAP Trauma Scores in Predicting Prognosis for Multiple Trauma Patients: A Prospective Observational Study

TypeobservationalSponsorAl-Nahrain UniversityRan2025 to 2027Enrolled522ConditionsTrauma
NCT06891482 naenrolling by invitationnot on this mapstarted 2024, after this paper: background citation

The Impact of Telerehabilitation in Physical Activity and Health Outcomes in Hemodialysis Patients.

TypeinterventionalSponsorHartcentrum HasseltRan2024 to 2025Enrolled46ConditionsCardiology, NefrologyArmsTelerehabilitation
NCT07364344 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

A Single-Center,Open-Label Clinical Study on the Safety and Preliminary Efficacy of Hibernation-Like Therapy (Chlorpromazine and Promethazine) in Patients With Acute Ischemic Stroke (AIS) Eligible for Reperfusion Therapy.

TypeinterventionalSponsorJi Xunming,MD,PhDRan2026 to 2026Enrolled57ConditionsAcute Ischemic StrokeArmsHibernation-like Therapy (Chlorpromazine and Promethazine, C+P)
3 · Its place in the literature

Who cites it

2,600 citing papers in PubMed, 5 syntheses or guidelines pooled it, 4,887 citations in OpenAlex.

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2,540 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

GBD 2016 Causes of Death Collaborators

Funding

"Enhancing Cancer Research in Central Africa IeDEA"U01AI096299 · NIAID · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI Denis Nash, Marcel Yotebieng · 2011 to 2026
$35.8M
Multidisciplinary Training in Critical Care Outcomes ResearchT32HL007820 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Timothy D Girard, Jeremy M Kahn · 1996 to 2026
$6.4M
University of Washington Center for Demography and Economics of Aging-OverallP30AG047845 · NIA · UNIVERSITY OF WASHINGTON · PI MURRAY, CHRISTOPHER J.L. · 2014 to 2019
$3.8M
Long term outcomes of therapy in women initiated on lifelong ART because of pregnancy in DR CongoR01HD087993 · NICHD · OHIO STATE UNIVERSITY · PI BABAKAZO, PELAGIE DIAMBALULA, YOTEBIENG, MARCEL · 2016 to 2020
$3.1M
Methodologies to Enhance Understanding of HIV-Associated Social DeterminantsR01MH110163 · NIMH · UNIVERSITY OF WASHINGTON · PI WANG, HAIDONG · 2016 to 2020
$1.9M
Chief Scientist Office SCAF/15/02Chief Scientist Office SPHSU13Chief Scientist Office SPHSU15Medical Research Council G0400491Medical Research Council MC_U147585819Medical Research Council MC_U147585824Medical Research Council MC_U147585827Medical Research Council MC_UP_A620_1014Medical Research Council MC_UP_A620_1015Medical Research Council MC_UU_12011/1Medical Research Council MC_UU_12011/2Medical Research Council MC_UU_12017/13Medical Research Council MC_UU_12017/15Medical Research Council MR/K00669X/1Medical Research Council MR/K013351/1NHLBI NIH HHS T32 HL007820NIAID NIH HHS U01 AI096299NIA NIH HHS P30 AG047845NICHD NIH HHS R01 HD087993NIMH NIH HHS R01 MH110163Wellcome Trust 201900Wellcome Trust 201900/Z/16/Z
6 · The paper itself

Abstract

backgroundMonitoring levels and trends in premature mortality is crucial to understanding how societies can address prominent sources of early death. The Global Burden of Disease 2016 Study (GBD 2016) provides a comprehensive assessment of cause-specific mortality for 264 causes in 195 locations from 1980 to 2016. This assessment includes evaluation of the expected epidemiological transition with changes in development and where local patterns deviate from these trends.

methodsWe estimated cause-specific deaths and years of life lost (YLLs) by age, sex, geography, and year. YLLs were calculated from the sum of each death multiplied by the standard life expectancy at each age. We used the GBD cause of death database composed of: vital registration (VR) data corrected for under-registration and garbage coding; national and subnational verbal autopsy (VA) studies corrected for garbage coding; and other sources including surveys and surveillance systems for specific causes such as maternal mortality. To facilitate assessment of quality, we reported on the fraction of deaths assigned to GBD Level 1 or Level 2 causes that cannot be underlying causes of death (major garbage codes) by location and year. Based on completeness, garbage coding, cause list detail, and time periods covered, we provided an overall data quality rating for each location with scores ranging from 0 stars (worst) to 5 stars (best). We used robust statistical methods including the Cause of Death Ensemble model (CODEm) to generate estimates for each location, year, age, and sex. We assessed observed and expected levels and trends of cause-specific deaths in relation to the Socio-demographic Index (SDI), a summary indicator derived from measures of average income per capita, educational attainment, and total fertility, with locations grouped into quintiles by SDI. Relative to GBD 2015, we expanded the GBD cause hierarchy by 18 causes of death for GBD 2016.

findingsThe quality of available data varied by location. Data quality in 25 countries rated in the highest category (5 stars), while 48, 30, 21, and 44 countries were rated at each of the succeeding data quality levels. Vital registration or verbal autopsy data were not available in 27 countries, resulting in the assignment of a zero value for data quality. Deaths from non-communicable diseases (NCDs) represented 72·3% (95% uncertainty interval [UI] 71·2-73·2) of deaths in 2016 with 19·3% (18·5-20·4) of deaths in that year occurring from communicable, maternal, neonatal, and nutritional (CMNN) diseases and a further 8·43% (8·00-8·67) from injuries. Although age-standardised rates of death from NCDs decreased globally between 2006 and 2016, total numbers of these deaths increased; both numbers and age-standardised rates of death from CMNN causes decreased in the decade 2006-16-age-standardised rates of deaths from injuries decreased but total numbers varied little. In 2016, the three leading global causes of death in children under-5 were lower respiratory infections, neonatal preterm birth complications, and neonatal encephalopathy due to birth asphyxia and trauma, combined resulting in 1·80 million deaths (95% UI 1·59 million to 1·89 million). Between 1990 and 2016, a profound shift toward deaths at older ages occurred with a 178% (95% UI 176-181) increase in deaths in ages 90-94 years and a 210% (208-212) increase in deaths older than age 95 years. The ten leading causes by rates of age-standardised YLL significantly decreased from 2006 to 2016 (median annualised rate of change was a decrease of 2·89%); the median annualised rate of change for all other causes was lower (a decrease of 1·59%) during the same interval. Globally, the five leading causes of total YLLs in 2016 were cardiovascular diseases; diarrhoea, lower respiratory infections, and other common infectious diseases; neoplasms; neonatal disorders; and HIV/AIDS and tuberculosis. At a finer level of disaggregation within cause groupings, the ten leading causes of total YLLs in 2016 were ischaemic heart disease, cerebrovascular disease, lower respiratory infections, diarrhoeal diseases, road injuries, malaria, neonatal preterm birth complications, HIV/AIDS, chronic obstructive pulmonary disease, and neonatal encephalopathy due to birth asphyxia and trauma. Ischaemic heart disease was the leading cause of total YLLs in 113 countries for men and 97 countries for women. Comparisons of observed levels of YLLs by countries, relative to the level of YLLs expected on the basis of SDI alone, highlighted distinct regional patterns including the greater than expected level of YLLs from malaria and from HIV/AIDS across sub-Saharan Africa; diabetes mellitus, especially in Oceania; interpersonal violence, notably within Latin America and the Caribbean; and cardiomyopathy and myocarditis, particularly in eastern and central Europe. The level of YLLs from ischaemic heart disease was less than expected in 117 of 195 locations. Other leading causes of YLLs for which YLLs were notably lower than expected included neonatal preterm birth complications in many locations in both south Asia and southeast Asia, and cerebrovascular disease in western Europe.

interpretationThe past 37 years have featured declining rates of communicable, maternal, neonatal, and nutritional diseases across all quintiles of SDI, with faster than expected gains for many locations relative to their SDI. A global shift towards deaths at older ages suggests success in reducing many causes of early death. YLLs have increased globally for causes such as diabetes mellitus or some neoplasms, and in some locations for causes such as drug use disorders, and conflict and terrorism. Increasing levels of YLLs might reflect outcomes from conditions that required high levels of care but for which effective treatments remain elusive, potentially increasing costs to health systems.

fundingBill & Melinda Gates Foundation.

Indexed as

AdolescentAdultAgedAged, 80 and overAge DistributionCause of DeathChildChild, PreschoolCommunicable DiseasesDisastersFemaleGlobal Burden of DiseaseGlobal HealthHumansInfantInfant, Newborn

Identifiers

PMID28919116
PMCPMC5605883
OpenAlexW2753051611

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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.