Evidence mapPaperPMID 39700381Full record

ArticleJournal of global health2024

Multimorbidity in elderly patients with or without T2DM: A real-world cross-sectional analysis based on primary care and hospitalisation data.

Yang Li, Shasha Geng, Huixiao Yuan, Jianli Ge, Qingqing Li, Xin Chen, Yingqian Zhu, Yue Liu, Xiaotong Guo, Xiaoli Wang and 1 more

Abstract read
In one paragraph

Article in Journal of global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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.

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, 1 synthesis or guideline pooled it.

  1. Pooled it
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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.

Yang Li *Department of General Practice, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Shasha Geng *Department of General Practice, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Huixiao YuanDepartment of General Practice, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Jianli GeDepartment of General Practice, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Qingqing LiDepartment of General Practice, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Xin ChenDepartment of General Practice, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Yingqian ZhuDepartment of General Practice, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Yue LiuDepartment of General Practice, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Xiaotong GuoDepartment of General Practice, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Xiaoli WangPudong Institute for Health Development, Shanghai, China.
Hua JiangDepartment of General Practice, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Shanghai's high level of ageing has given rise to a considerable number of elderly patients with type 2 diabetes mellitus (T2DM) who are confronted with the challenge of managing multimorbidity. We aimed to determine the prevalence of multimorbidity in elderly T2DM patients in a representative Pudong New Area community and critically evaluate current guidelines' inclusiveness in addressing major comorbidities. Methods: Through the Shanghai Health Cloud platform, we extracted medical records of residents in the Huamu community (Pudong New Area, Shanghai) to screen elderly patients with at least three outpatient visits or one hospitalisation per year between 2019 and 2022. According to International Classification of Disease, 10th edition codes and personal identification number, we identified the status of T2DM and 12 other common chronic diseases, matched T2DM patients and non-T2DM patients 1:1 by age and gender, and then calculated the prevalence of multimorbidity status and annual prevalence of each comorbidity. We analysed associations between T2DM and specific chronic diseases using logistic regression models. Results: More than 90% of elderly T2DM patients had at least one additional chronic disease. Multimorbidity was more frequent in women and older patients. Hyperlipidemia, hypertension, and ischaemic heart disease were the most prevalent comorbidities. The diagnosis of T2DM was significantly associated with both cardiovascular-kidney-metabolic and neuropsychiatric diseases. In addition, a higher prevalence and risk of chronic obstructive pulmonary disease (COPD) were consistently detected in elderly patients with T2DM, regardless of age and gender. Conclusions: Multimorbidity in elderly patients with T2DM needs broader acknowledgement. Current guidelines focus more on cardiovascular-kidney-metabolic and neuropsychiatric diseases with inadequate guidance on COPD management. Hence, the pleiotropic effects of glucose-lowering drugs on COPD should be further investigated to optimise the comprehensive management strategy for this population.

Indexed as

Diabetes Mellitus, Type 2HospitalizationMultimorbidityPrimary Health CareAgedAged, 80 and overChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalence

Identifiers

PMID39700381
PMCPMC11658714

What Socratic holds

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LicenceCC BY
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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 Socratic graph.