Evidence map›Paper›PMID 34101909›Full record

ArticleJournal of clinical laboratory analysis2021

Association between preoperative lipid profiles and new-onset diabetes after transplantation in Chinese kidney transplant recipients: A retrospective cohort study.

Yangli Ye, Jian Gao, Jing Liang, Yinqiu Yang, Chaoyang Lv, Minling Chen, Jina Wang, Dong Zhu, Ruiming Rong, Ming Xu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
2.7field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

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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

12 authors at 3 institutions in 1 country.

Yangli YeDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, P.R. China.ORCID https://orcid.org/0000-0003-1875-3863
Jian GaoCenter of Clinical Epidemiology and Evidence-based Medicine, Fudan University, Shanghai, P.R. China.
Jing LiangDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, P.R. China.
Yinqiu YangDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, P.R. China.
Chaoyang LvDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, P.R. China.
Minling ChenDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, P.R. China.
Jina WangDepartment of Urology, Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, P.R. China.
Dong ZhuDepartment of Urology, Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, P.R. China.
Ruiming RongDepartment of Urology, Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, P.R. China.
Ming XuDepartment of Urology, Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, P.R. China.
Tongyu ZhuDepartment of Urology, Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, P.R. China.
Mingxiang YuDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, P.R. China.
Fudan University · CNSun Yat-sen University · CNFujian University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study investigated the association between the preoperative lipid profiles and new-onset diabetes after transplantation (NODAT) in Chinese kidney transplant recipients (KTRs).

methodsIn this study, of 1140 KTRs registered between January 1993 and March 2018 in Zhongshan Hospital, Fudan University, 449 were enrolled. Clinical data, obtained through a chart review of the patient records in the medical record system, were evaluated, and NODAT was diagnosed based on the American Diabetes Association guidelines. Multivariate Cox regression analysis was conducted to determine whether the preoperative lipid profiles in KTRs were independently associated with NODAT incidence. The preoperative lipid profiles were analyzed as continuous variables and grouped into tertiles. Smooth curve fitting was used to confirm the linear associations.

resultsDuring a median follow-up of 28.03 (interquartile range 12.00-84.23) months, 104 of the 449 (23.16%) participants developed NODAT. The multivariate model analysis, adjusted for all potential covariates, showed that increased values of the following parameters were associated with NODAT (hazard ratio, 95% confidence interval): preoperative total cholesterol (TC; 1.25, 1.09-1.58, p = 0.0495), low-density lipoprotein cholesterol (LDL-C; 1.33, 1.02-1.75, p = 0.0352), non-high-density lipoprotein cholesterol (non-HDL-C; 1.41, 1.09-1.82, p = 0.0084), TC/HDL-C (1.28, 1.06-1.54, p = 0.0109), and non-HDL-C/HDL-C (1.26, 1.05-1.52, p = 0.0138). However, the association between the preoperative triglyceride, HDL-C, or TG/HDL-C and NODAT was not significant.

conclusionsPreoperative TC, LDL-C, non-HDL-C, TC/HDL-C, and non-HDL-C/HDL-C were independent risk factors for NODAT.

Indexed as

AdultAsian PeopleCholesterol, HDLCholesterol, LDLDiabetes MellitusFemaleFollow-Up StudiesHumansKidney TransplantationLipidsMaleMiddle AgedMultivariate AnalysisPreoperative PeriodRetrospective StudiesRisk FactorsCholesterol, HDLCholesterol, LDLLipidsTriglycerideskidney transplantationlow-density lipoprotein cholesterolnew-onset diabetes after transplantationnon-high-density lipoprotein cholesteroltotal cholesterol

Identifiers

PMID34101909
PMCPMC8373348
OpenAlexW3168447928

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.