Evidence map›Paper›PMID 35026157›Full record

ArticleThe lancet. Diabetes & endocrinology2022

Trends in all-cause mortality among people with diagnosed diabetes in high-income settings: a multicountry analysis of aggregate data.

Dianna J Magliano, Lei Chen, Bendix Carstensen, Edward W Gregg, Meda E Pavkov, Agus Salim, Linda J Andes, Ran Balicer, Marta Baviera, Juliana C N Chan and 25 more

Abstract read
In one paragraph

Article in The lancet. Diabetes & endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

35 authors.

Dianna J MaglianoDepartment of Diabetes and Population Health, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia. Electronic address: Dianna.magliano@baker.edu.au.
Lei ChenDepartment of Diabetes and Population Health, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.
Bendix CarstensenClinical Epidemiology, Steno Diabetes Center Copenhagen, Gentofte, Denmark.
Edward W GreggDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Meda E PavkovDivision of Diabetes Translation, Centers for Diseases Control and Prevention, Atlanta, GA, USA.
Agus SalimDepartment of Diabetes and Population Health, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia; Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia.
Linda J AndesDivision of Diabetes Translation, Centers for Diseases Control and Prevention, Atlanta, GA, USA.
Ran BalicerClalit Research Institute, Clalit Health Services, Tel Aviv, Israel.
Marta BavieraLaboratory of Cardiovascular Prevention, Mario Negri Institute for Pharmacological Research IRCCS, Milan, Italy.
Juliana C N ChanDepartment of Medicine and Therapeutics, Li Ka Shing Institute of Health Sciences, Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China.
Yiling J ChengDivision of Diabetes Translation, Centers for Diseases Control and Prevention, Atlanta, GA, USA.
Helene GardinerCentre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, ON, Canada.
Hanne L GulsethDepartment for Chronic Diseases and Ageing, Norwegian Institute of Public Health, Oslo, Norway.
Romualdas GureviciusCenter of Health Information, Institute of Hygiene, Vilnius, Lithuania; Faculty of Public Governance and Business, Mykolas Romeris University, Vilnius, Lithuania.
Kyoung Hwa HaDepartment of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, South Korea.
György Jermendy3rd Medical Department, Bajcsy-Zsilinszky Hospital, Budapest, Hungary.
Dae Jung KimDepartment of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, South Korea.
Zoltán Kiss2nd Department of Medicine and Nephrological Center, Medical Faculty, University of Pécs, Pécs, Hungary.
Maya Leventer-RobertsClalit Research Institute, Clalit Health Services, Tel Aviv, Israel; Departments of Pediatrics and Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Chun-Yi LinGeneral Clinical Research Center, Taipei Veterans General Hospital, Taipei, Taiwan.
Andrea O Y LukDepartment of Medicine and Therapeutics, Li Ka Shing Institute of Health Sciences, Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China.
Stefan MaEpidemiology and Disease Control Division, Public Health Group, Ministry of Health, Singapore.
Manel Mata-CasesCIBER of Diabetes and Associated Metabolic Diseases, Instituto de Salud Carlos III (ISCIII), Barcelona, Spain; Institut Català de la Salut, Unitat de Suport a la Recerca Barcelona Ciutat, Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Barcelona, Spain.
Didac MauricioCIBER of Diabetes and Associated Metabolic Diseases, Instituto de Salud Carlos III (ISCIII), Barcelona, Spain; Institut Català de la Salut, Unitat de Suport a la Recerca Barcelona Ciutat, Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Barcelona, Spain; Department of Endocrinology and Nutrition, Hospital de la Santa Creu i Sant Pau, Autonomous University of Barcelona, Barcelona, Spain.
Gregory A NicholsScience Programs Department, Kaiser Permanente Center for Health Research, Portland, OR, USA.
Santa PildavaResearch and Health Statistics Department, Centre for Disease Prevention and Control, Riga, Latvia.
Avi PorathResearch Institute, Maccabi Healthcare Services, Tel Aviv, Israel; Faculty of Health, Ben Gurion University, Beer-Sheva, Israel.
Stephanie H ReadUsher Institute, University of Edinburgh, Edinburgh, UK.
Cynthia RobitailleCentre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, ON, Canada.
Maria Carla RoncaglioniLaboratory of Cardiovascular Prevention, Mario Negri Institute for Pharmacological Research IRCCS, Milan, Italy.
Paz Lopez-Doriga RuizDepartment for Chronic Diseases and Ageing, Norwegian Institute of Public Health, Oslo, Norway; Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway.
Kang-Ling WangGeneral Clinical Research Center, Taipei Veterans General Hospital, Taipei, Taiwan.
Sarah H WildUsher Institute, University of Edinburgh, Edinburgh, UK.
Naama YekutielResearch Institute, Maccabi Healthcare Services, Tel Aviv, Israel.
Jonathan E ShawDepartment of Diabetes and Population Health, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia; School of Life Sciences, Latrobe University, Melbourne, VIC, Australia.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

backgroundPopulation-level trends in mortality among people with diabetes are inadequately described. We aimed to examine the magnitude and trends in excess all-cause mortality in people with diabetes.

methodsIn this retrospective, multicountry analysis, we collected aggregate data from 19 data sources in 16 high-income countries or jurisdictions (in six data sources in Asia, eight in Europe, one from Australia, and four from North America) for the period from Jan 1, 1995, to Dec 31, 2016, (or a subset of this period) on all-cause mortality in people with diagnosed total or type 2 diabetes. We collected data from administrative sources, health insurance records, registries, and a health survey. We estimated excess mortality using the standardised mortality ratio (SMR).

findingsIn our dataset, there were approximately 21 million deaths during 0·5 billion person-years of follow-up among people with diagnosed diabetes. 17 of 19 data sources showed decreases in the age-standardised and sex-standardised mortality in people with diabetes, among which the annual percentage change in mortality ranged from -0·5% (95% CI -0·7 to -0·3) in Hungary to -4·2% (-4·3 to -4·1) in Hong Kong. The largest decreases in mortality were observed in east and southeast Asia, with a change of -4·2% (95% CI -4·3 to -4·1) in Hong Kong, -4·0% (-4·8 to -3·2) in South Korea, -3·5% (-4·0 to -3·0) in Taiwan, and -3·6% (-4·2 to -2·9) in Singapore. The annual estimated change in SMR between people with and without diabetes ranged from -3·0% (95% CI -3·0 to -2·9; US Medicare) to 1·6% (1·4 to 1·7; Lombardy, Italy). Among the 17 data sources with decreasing mortality among people with diabetes, we found a significant SMR increase in five data sources, no significant SMR change in four data sources, and a significant SMR decrease in eight data sources.

interpretationAll-cause mortality in diabetes has decreased in most of the high-income countries we assessed. In eight of 19 data sources analysed, mortality decreased more rapidly in people with diabetes than in those without diabetes. Further longevity gains will require continued improvement in prevention and management of diabetes.

fundingUS Centers for Disease Control and Prevention, Diabetes Australia Research Program, and Victoria State Government Operational Infrastructure Support Program.

Indexed as

Diabetes Mellitus, Type 2AgedHumansIncomeNational Health ProgramsRegistriesRetrospective Studies

Identifiers

PMID35026157
PMCPMC11318037

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.