Evidence map›Paper›PMID 38057929›Full record

ArticleCancer & metabolism2023

The classification of obesity based on metabolic status redefines the readmission of non-Hodgkin's lymphoma-an observational study.

Hang Dong, Honglin Guo, Jing Du, Yiping Cheng, Dawei Wang, Junming Han, Zinuo Yuan, Zhenyu Yao, Ran An, Xiaoqin Wu and 6 more

Abstract read
In one paragraph

Article in Cancer & metabolism, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

16 authors.

Hang DongDepartment of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250021, China.
Honglin GuoDepartment of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250021, China.
Jing DuDepartment of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250021, China.
Yiping ChengDepartment of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250021, China.
Dawei WangDepartment of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250021, China.
Junming HanKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China.
Zinuo YuanDepartment of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250021, China.
Zhenyu YaoKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China.
Ran AnDepartment of Mechanical and Aerospace Engineering, Case Western Reserve University, Cleveland, OH, USA.
Xiaoqin WuDepartment of Integrative Biology and Pharmacology, McGovern Medical School at UTHealth, Houston, TX, USA.
Kyle L PoulsenDepartment of Anesthesiology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA.
Zhixiang WangDepartment of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250021, China.
Shanshan ShaoDepartment of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250021, China.
Xiude FanKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China. fanxiudexjtu@163.com.
Zhen WangKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China. wangzhen@sdfmu.edu.cn.
Jiajun ZhaoKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China. jjzhao@sdu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe relationship between obesity and non-Hodgkin's lymphoma (NHL) was controversial, which may be due to the crudeness definition of obesity based on body mass index (BMI). As obesity and metabolic abnormalities often coexist, we aimed to explore whether the classification of obesity based on metabolic status can help to evaluate the real impact of obesity on the readmission of NHL.

methodsIn this retrospective cohort study, utilizing the 2018 Nationwide Readmissions Database, we identified NHL-related index hospitalizations and followed them for non-elective readmission. The patients with NHL were classified as metabolically healthy non-obese (MHNO) and obese (MHO) and metabolically unhealthy non-obese (MUNO) and obese (MUO). Readmission rates for each phenotype were calculated at 30-day intervals. Multiple COX regression was used to analyze the association of metabolic-defined obesity with 30-day, 90-day, and 180-day readmission rates in patients with NHL.

resultsThere were 22,086 index hospitalizations with NHL included. In the multivariate COX regression, MUNO was associated with increased 30-day (HR = 1.113, 95% CI 1.036-1.195), 90-day (HR = 1.148, 95% CI 1.087-1.213), and 180-day readmission rates (HR = 1.132, 95% CI 1.077-1.189), and MUO was associated with increased 30-day (HR=1.219, 95% CI: 1.081-1.374), 90-day (HR = 1.228, 95% CI 1.118-1.348), and 180-day readmission rates (HR = 1.223, 95% CI 1.124-1.33), while MHO had no associations with readmission rates.

conclusionsThe presence of metabolic abnormalities with or without obesity increased the risk of non-selective readmission in patients with NHL. However, obesity alone had no associations with the risk of non-selective readmission, suggesting that interventions for metabolic abnormalities may be more important in reducing readmissions of NHL patients.

Indexed as

Metabolic abnormalityNon-Hodgkin lymphomaObesityPhenotypeReadmission

Identifiers

PMID38057929
PMCPMC10698918

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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.