Evidence map›Paper›PMID 38504695›Full record

ArticleJournal of inflammation research2024

Predictive and Prognostic Potentials of Lymphocyte-C-Reactive Protein Ratio Upon Hospitalization in Adult Patients with Acute Pancreatitis.

Xiao-Yu Xu, Yang Gao, Chuang-Shi Yue, Yu-Jia Tang, Zhao-Jin Zhang, Feng-Jie Xie, Hong Zhang, Yu-Cheng Zhu, Yan Zhang, Qi-Qi Lai and 6 more

Open access · goldAbstract read
In one paragraph

Article in Journal of inflammation research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

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  5. Changes in inflammatory composite markers and DZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025
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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

16 authors at 6 institutions in 1 country.

Xiao-Yu Xu *Department of Critical Care Medicine, The Second People's Hospital of Beihai, Beihai, People's Republic of China.
Yang Gao *Department of Critical Care Medicine, The Sixth Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.ORCID 0000-0002-0612-0818
Chuang-Shi Yue *Department of Critical Care Medicine, Henan Provincial People's Hospital, Zhengzhou, People's Republic of China.
Yu-Jia Tang *Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.
Zhao-Jin ZhangDepartment of Critical Care Medicine, The Yichun Central Hospital, Yichun, People's Republic of China.
Feng-Jie XieDepartment of Critical Care Medicine, The Hongqi Hospital Affiliated to Mudanjiang Medical University, Mudanjiang, People's Republic of China.
Hong ZhangDepartment of Critical Care Medicine, The Hongqi Hospital Affiliated to Mudanjiang Medical University, Mudanjiang, People's Republic of China.
Yu-Cheng ZhuDepartment of Critical Care Medicine, The Hongxinglong Hospital of Beidahuang Group, Shuangyashan, People's Republic of China.
Yan ZhangDepartment of Critical Care Medicine, The Hongxinglong Hospital of Beidahuang Group, Shuangyashan, People's Republic of China.
Qi-Qi LaiDepartment of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.
Xin-Tong WangDepartment of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.
Jia-Xi XuDepartment of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.
Jia-Ning ZhangDepartment of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.
Bo-Wen LiuDepartment of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.
Jian-Nan ZhangDepartment of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.
Kai KangDepartment of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.
Harbin Medical University · CNMudanjiang Medical University · CNTang Hospital · CNBeihai People's Hospital · CNHenan Provincial People's Hospital · CNYichun University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: In this study, our objective was to investigate the potential utility of lymphocyte-C-reactive protein ratio (LCR) as a predictor of disease progression and a screening tool for intensive care unit (ICU) admission in adult patients with acute pancreatitis (AP). Methods: We included a total of 217 adult patients with AP who were admitted to the First Affiliated Hospital of Harbin Medical University between July 2019 and June 2022. These patients were categorized into three groups: mild AP (MAP), moderately severe AP (MSAP), and severe AP (SAP), based on the presence and duration of organ dysfunction. Various demographic and clinical data were collected and compared among different disease severity groups. Results: Height, diabetes, lymphocyte count (LYMPH), lymphocyte percentage (LYM%), platelet count (PLT), D-Dimer, albumin (ALB), blood urea nitrogen (BUN), serum creatinine (SCr), glucose (GLU), calcium ion (Ca Conclusion: In summary, LCR upon hospitalization can be utilized as a simple and reliable predictor of disease progression and a screening tool for ICU admission in adult patients with AP.

Indexed as

acute pancreatitisC-reaction proteindisease progressionICU admissionlymphocyte countlymphocyte-C-reactive protein ratioscreening tool

Identifiers

PMID38504695
PMCPMC10949381
OpenAlexW4392768054

What OpenQuestion holds

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Registered trials

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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.