Evidence map›Paper›PMID 37153075›Full record

ArticleClinical epidemiology2023

Adverse Clinical Outcomes Attributable to Socioeconomic and Ethnic Disparities Among People with Type 2 Diabetes in New Zealand Between 1994-2018: A Multiple Linked Cohort Study.

Dahai Yu, Uchechukwu Levi Osuagwu, Karen Pickering, John Baker, Richard Cutfield, Zheng Wang, Yamei Cai, Brandon J Orr-Walker, Gerhard Sundborn, Zhanzheng Zhao and 1 more

Abstract read
In one paragraph

Article in Clinical epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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.

Dahai YuDepartment of Nephrology, The First Affiliated Hospital, Zhengzhou University, Zhengzhou, 450052, People's Republic of China.ORCID 0000-0002-8449-7725
Uchechukwu Levi OsuagwuTranslational Health Research Institute (THRI), Western Sydney University, Sydney, NSW, Australia.ORCID 0000-0002-1727-6914
Karen PickeringDiabetes Foundation Aotearoa, Auckland, New Zealand.
John BakerDiabetes Foundation Aotearoa, Auckland, New Zealand.
Richard CutfieldDiabetes Foundation Aotearoa, Auckland, New Zealand.
Zheng WangDepartment of Nephrology, The First Affiliated Hospital, Zhengzhou University, Zhengzhou, 450052, People's Republic of China.
Yamei Cai *Department of Nephrology, The First Affiliated Hospital, Zhengzhou University, Zhengzhou, 450052, People's Republic of China.
Brandon J Orr-WalkerDiabetes Foundation Aotearoa, Auckland, New Zealand.
Gerhard SundbornSection of Pacific Health, The University of Auckland, Auckland, New Zealand.
Zhanzheng Zhao *Department of Nephrology, The First Affiliated Hospital, Zhengzhou University, Zhengzhou, 450052, People's Republic of China.
David Simmons *Department of Nephrology, The First Affiliated Hospital, Zhengzhou University, Zhengzhou, 450052, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The study aimed to examine the separate population-level contributions of the ethnic and socioeconomic disparities among people with type 2 diabetes mellitus (T2DM) and residence in New Zealand (NZ). Patients and Methods: A prospective cohort enrolled T2DM patients from 01/01/1994 into the Diabetes Care Support Service, a primary care audit program in Auckland, NZ. The cohort was linked to national registry databases (socioeconomic status, pharmaceutical claim, hospitalization, and death registration). Each cohort member was followed up till death or the study end time (31/12/2019), whichever came first. Incident clinical events (stroke, myocardial infarction (MI), heart failure (HF), end-stage renal disease (ESRD), and premature mortality (PM)) were used as outcomes. The attributable fractions (AFs) were estimated for the whole population and for specific population with NZ Europeans (NZE) and/or least deprived population as reference, both unadjusted and with adjustment for covariables by Cox Regression models. Results: Among 36,267 patients, adjusted population AFs indicated 6.6(-30.8-33.3)% of PM, 17.1(5.8-27.0)% of MI, 35.3(22.6-46.0)% of stroke, 14.3(3.2-24.2)% of HF, and 15.9(6.7-24.2)% of ESRD could be attributed to deprivation; while 14.3(3.3-25.4)% of PM, -3.3(-8.3-1.5)% of MI, -0.5(-6.7-5.3)% of stroke, 4.7(0.3-8.8)% of HF, 13.3(9.9-16.6)% of ESRD could be attributed to ethnicity. Deprivation contributed a significant AF to stroke, while ethnicity was important for ESRD. Gradient of AF for deprivation indicated NZE and Asians were most affected by deprivation across outcomes. Conversely, Māori, with the highest AFs for ethnicity of PM and ESRD, were unaffected by deprivation. At same deprivations, the AFs of MI and stroke were greatest among NZE compared with other ethnic groups; the AF of ESRD was greatest among Māori and Pasifika. Conclusion: Both socioeconomic deprivation and ethnicity are strongly associated with outcomes in patients with T2DM in NZ, although the extent of the deprivation gradient is greatest among NZE and Asians, and least among Māori.

Indexed as

end-stage renal diseaseheart failureMāorimyocardial infarctionpremature mortalitystroke

Identifiers

PMID37153075
PMCPMC10162107

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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.