Evidence map›Paper›PMID 37724847›Full record

ArticleInquiry : a journal of medical care organization, provision and financing

Frailty Index was Associated With Adverse Outcomes in Admitted Elderly Patients With Type 2 Diabetes Mellitus.

Yi Lin, Xiaochong Shi, Lingling Huang, Aixia Chen, Haihui Zhu

Abstract read
In one paragraph

Article in Inquiry : a journal of medical care organization, provision and financing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

5 authors.

Yi LinDepartment of Endocrinology, The Third Affiliated Hospital of Shanghai University, Wenzhou People's Hospital, Zhejiang, China.
Xiaochong ShiDepartment of Endocrinology, The Third Affiliated Hospital of Shanghai University, Wenzhou People's Hospital, Zhejiang, China.
Lingling HuangDepartment of Endocrinology, The Third Affiliated Hospital of Shanghai University, Wenzhou People's Hospital, Zhejiang, China.
Aixia ChenDepartment of Endocrinology, The Third Affiliated Hospital of Shanghai University, Wenzhou People's Hospital, Zhejiang, China.
Haihui ZhuDepartment of Endocrinology, The Third Affiliated Hospital of Shanghai University, Wenzhou People's Hospital, Zhejiang, China.ORCID 0000-0002-4396-5481

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to investigate the role of the laboratory frailty index (LFI) in diabetic complications and incident disability in admitted older patients with type 2 diabetes mellitus (T2DM). We retrospectively collected the clinical data of older patients with T2DM from December 2018 to May 2020. Frailty was quantified using the LFI, which considers the accumulation of 27 items of abnormal laboratory outcomes. Univariate and multivariate analyses were performed to evaluate the relationship between LFI and diabetes-related adverse outcomes. In total, 293 consecutive older patients with T2DM were recruited for this study. According to the predefined LFI criteria, 110 (37.5%) participants were non-frail, 131 (44.7%) were prefrail, and 52 (17.8%) were frail. Univariate and multivariate analysis revealed that LFI was associated with the diabetic microangiopathy complications (odds ratio for prefrail [OR

Indexed as

Diabetes Mellitus, Type 2Diabetic AngiopathiesFrailtyActivities of Daily LivingAgedGeriatric AssessmentHumansRetrospective Studiesinflammationlaboratory frailty indexmacroangiopathy complicationsmicroangiopathy complicationstype 2 diabetes mellitus

Identifiers

PMID37724847
PMCPMC10510342

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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.