Evidence mapPaperPMID 36556321Full record

ArticleLife (Basel, Switzerland)2022

The Impact of Cardiac Comorbidity Sequence at Baseline and Mortality Risk in Type 2 Diabetes Mellitus: A Retrospective Population-Based Cohort Study.

Sharen Lee, Helen Huang, Teddy Tai Loy Lee, Cheuk To Chung, Oscar Hou In Chou, Keith Sai Kit Leung, Abraham Ka Chung Wai, Wing Tak Wong, Tong Liu, Carlin Chang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Life (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 34% 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.

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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
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 at 5 institutions in 3 countries.

Sharen LeeDiabetes Research Unit, Cardiovascular Analytics Group, Hong Kong, China.
Helen HuangDiabetes Research Unit, Cardiovascular Analytics Group, Hong Kong, China.ORCID 0000-0002-2809-0154
Teddy Tai Loy LeeDiabetes Research Unit, Cardiovascular Analytics Group, Hong Kong, China.
Cheuk To ChungDiabetes Research Unit, Cardiovascular Analytics Group, Hong Kong, China.
Oscar Hou In ChouDiabetes Research Unit, Cardiovascular Analytics Group, Hong Kong, China.ORCID 0000-0001-7058-4708
Keith Sai Kit LeungDiabetes Research Unit, Cardiovascular Analytics Group, Hong Kong, China.ORCID 0000-0002-4232-763X
Abraham Ka Chung WaiDiabetes Research Unit, Cardiovascular Analytics Group, Hong Kong, China.ORCID 0000-0001-9984-8156
Wing Tak WongSchool of Life Sciences, Chinese University of Hong Kong, Hong Kong, China.
Tong LiuTianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China.ORCID 0000-0003-0482-0738
Carlin ChangDepartment of Medicine, Queen Mary Hospital, University of Hong Kong, Hong Kong, China.
Gary TseDiabetes Research Unit, Cardiovascular Analytics Group, Hong Kong, China.ORCID 0000-0001-5510-1253
Queen Mary Hospital · CNUniversity of Hong Kong · HKChinese University of Hong Kong · HKMedway School of Pharmacy · GBSecond Hospital of Tianjin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The presence of multiple comorbidities increases the risk of all-cause mortality, but the effects of the comorbidity sequence before the baseline date on mortality remain unexplored. This study investigated the relationship between coronary heart disease (CHD), atrial fibrillation (AF) and heart failure (HF) through their sequence of development and the effect on all-cause mortality risk in type 2 diabetes mellitus. Methods: This study included patients with type 2 diabetes mellitus prescribed antidiabetic/cardiovascular medications in public hospitals of Hong Kong between 1 January 2009 and 31 December 2009, with follow-up until death or 31 December 2019. The Cox regression was used to identify comorbidity sequences predicting all-cause mortality in patients with different medication subgroups. Results: A total of 249,291 patients (age: 66.0 ± 12.4 years, 47.4% male) were included. At baseline, 7564, 10,900 and 25,589 patients had AF, HF and CHD, respectively. Over follow-up (3524 ± 1218 days), 85,870 patients died (mortality rate: 35.7 per 1000 person-years). Sulphonylurea users with CHD developing later and insulin users with CHD developing earlier in the disease course had lower mortality risks. Amongst insulin users with two of the three comorbidities, those with CHD with preceding AF (hazard ratio (HR): 3.06, 95% CI: [2.60−3.61], p < 0.001) or HF (HR: 3.84 [3.47−4.24], p < 0.001) had a higher mortality. In users of lipid-lowering agents with all three comorbidities, those with preceding AF had a higher risk of mortality (AF-CHD-HF: HR: 3.22, [2.24−4.61], p < 0.001; AF-HF-CHD: HR: 3.71, [2.66−5.16], p < 0.001). Conclusions: The sequence of comorbidity development affects the risk of all-cause mortality to varying degrees in diabetic patients on different antidiabetic/cardiovascular medications.

Indexed as

all-cause mortalitycomorbiditymedicationsequence

Identifiers

PMID36556321
PMCPMC9781363
OpenAlexW4309721813

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.