Evidence map›Paper›PMID 39741615›Full record

ArticleCureus2024

Predicting Severity of Acute Pancreatitis-Evaluation of Neutrophil-to-Lymphocyte Count Ratio as Emerging Biomarker: A Retrospective Analytical Study.

Akhil Vincent, Shashirekha C A

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Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed, 1 synthesis or guideline 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

2 authors.

Akhil VincentGeneral Surgery, Sri Devaraj Urs Medical College, Kolar, IND.
Shashirekha C AGeneral Surgery, Sri Devaraj Urs Medical College, Kolar, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Acute pancreatitis (AP) is a pancreatic inflammatory disease that can range in severity from mild, self-limiting forms to severe cases with high mortality rates. AP has various etiologies, including lifestyle factors like alcohol consumption and obesity, and its rapid progression makes early and accurate prediction of severity critical for effective management and improved patient outcomes. The traditional AP severity assessment tools, such as Ranson's criteria and APACHE II, require extensive data and time, making them less feasible in emergency settings. In response, simpler biomarkers that can quickly predict AP severity upon patient presentation are needed to enable early risk stratification and targeted interventions. The study aims to address this research gap by evaluating the neutrophil-to-lymphocyte ratio (NLR) as a potential biomarker for predicting AP severity, as well as assessing its correlation with the CT Severity Index, a widely used measure of AP severity. Methods The study used a retrospective analytical design, conducted at the R L Jalappa Hospital & Research Centre in Karnataka, India. The researchers included 118 patients diagnosed with acute pancreatitis (AP) according to the Revised Atlanta Classification. The dataset collected from the participants' medical records included variables such as age, gender, history of alcohol and tobacco use, duration of abdominal pain, ICU stay, CT Severity Index scores, and the neutrophil-to-lymphocyte ratio (NLR). Statistical analysis was performed using SPSS software version 21.0 (IBM Corp., Armonk, NY, USA). A p-value of less than 0.05 was considered statistically significant. This comprehensive methodological approach aimed to provide precise insights into the role of NLR in predicting AP severity while accounting for variability in patient data. Results The study included 118 patients, with 85 classified as having mild to moderate pancreatitis and 33 with severe pancreatitis. There were no significant differences between the two groups in terms of demographic factors such as gender, BMI, alcohol use, smoking, and comorbidities. The study also examined the relationship between the neutrophil-to-lymphocyte ratio (NLR) and the CT Severity Index, a measure of pancreatitis severity. The results showed a strong positive correlation between NLR and the CT Severity Index (r = 0.860, p < 0.001). This indicates that higher NLR values are associated with more severe pancreatitis, as measured by the CT Severity Index. These relationships suggest that NLR reflects the inflammatory response in acute pancreatitis, with higher levels of inflammatory markers associated with elevated NLR values. Conclusion This study aimed to evaluate the neutrophil-to-lymphocyte ratio (NLR) as a biomarker for predicting the severity of acute pancreatitis (AP). We conducted a retrospective analysis of 118 AP patients, categorizing them into mild-to-moderate and severe groups. NLR was significantly higher in the severe AP group compared to the mild-to-moderate group, suggesting its potential as an early predictor of AP severity. The study also examined the correlation between NLR and the CT Severity Index, a widely used measure of AP severity, further supporting the utility of NLR as a rapid and accessible tool for risk stratification in AP management.

Indexed as

acute pancreatitisct severity indexinflammatory biomarkersneutrophil-to-lymphocyte ratio (nlr)severity prediction

Identifiers

PMID39741615
PMCPMC11685782

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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.