Evidence map›Paper›PMID 38654370›Full record

ArticleLipids in health and disease2024

Novel anthropometric indicators of visceral obesity predict the severity of hyperlipidemic acute pancreatitis.

Yi Zhu, Yingbao Huang, Houzhang Sun, Lifang Chen, Huajun Yu, Liuzhi Shi, Weizhi Xia, Xuecheng Sun, Yunjun Yang, Hang Huang

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
12.0field-weighted citation impact, top 1% 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 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

10 authors at 1 institution in 1 country.

Yi ZhuDepartment of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325006, China.
Yingbao HuangDepartment of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325006, China.
Houzhang SunDepartment of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325006, China.
Lifang ChenDepartment of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325006, China.
Huajun YuDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325006, China.
Liuzhi ShiDepartment of Clinical Laboratory, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325006, China.
Weizhi XiaDepartment of Radiology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325006, China.
Xuecheng SunDepartment of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325006, China.
Yunjun YangDepartment of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325006, China.
Hang HuangDepartment of Nuclear Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325006, China. hh451258706@163.com.ORCID https://orcid.org/0009-0002-8746-7764
Wenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity substantially contributes to the onset of acute pancreatitis (AP) and influences its progression to severe AP. Although body mass index (BMI) is a widely used anthropometric parameter, it fails to delineate the distribution pattern of adipose tissue. To circumvent this shortcoming, the predictive efficacies of novel anthropometric indicators of visceral obesity, such as lipid accumulation products (LAP), cardiometabolic index (CMI), body roundness index (BRI), visceral adiposity index (VAI), A Body Shape Index (ABSI), and Chinese visceral adiposity index (CVAI) were examined to assess the severity of AP.

methodThe body parameters and laboratory indices of 283 patients with hyperlipidemic acute pancreatitis (HLAP) were retrospectively analysed, and the six novel anthropometric indicators of visceral obesity were calculated. The severity of HLAP was determined using the revised Atlanta classification. The correlation between the six indicators and HLAP severity was evaluated, and the predictive efficacy of the indicators was assessed using area under the curve (AUC). The differences in diagnostic values of the six indicators were also compared using the DeLong test.

resultsPatients with moderate to severe AP had higher VAI, CMI, and LAP than patients with mild AP (all P < 0.001). The highest AUC in predicting HLAP severity was observed for VAI, with a value of 0.733 and 95% confidence interval of 0.678-0.784.

conclusionsThis study demonstrated significant correlations between HLAP severity and VAI, CMI, and LAP indicators. These indicators, particularly VAI, which displayed the highest predictive power, were instrumental in forecasting and evaluating the severity of HLAP.

Indexed as

Body Mass IndexHyperlipidemiasObesity, AbdominalPancreatitisSeverity of Illness IndexAcute DiseaseAdultAgedAnthropometryFemaleHumansIntra-Abdominal FatMaleMiddle AgedRetrospective Studies

Identifiers

PMID38654370
PMCPMC11619407
OpenAlexW4395043864

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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.