Evidence map›Paper›PMID 36340538›Full record

ArticleCureus2022

Neutrophil-to-Lymphocyte Ratio as an Early Predictor of Complication and Mortality Outcomes in Individuals With Acute Pancreatitis at a UK District General Hospital: A Retrospective Analysis.

Sattam A Halaseh, Marcos Kostalas, Charles Kopec, Ahmad A Toubasi, Rola Salem

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In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 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

14 citing papers in PubMed, 2 syntheses or guidelines 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

5 authors.

Sattam A HalasehGeneral and Colorectal Surgery, Torbay and South Devon NHS Foundation Trust, Torbay Hospital, Torquay, GBR.
Marcos KostalasUpper Gastrointestinal Surgery, Torbay and South Devon NHS Foundation Trust, Torbay Hospital, Torquay, GBR.
Charles KopecGeneral and Colorectal Surgery, Torbay and South Devon NHS Foundation Trust, Torbay Hospital, Torquay, GBR.
Ahmad A ToubasiMedicine, Faculty of Medicine, University of Jordan, Amman, JOR.
Rola SalemGeneral and Colorectal Surgery, Torbay and South Devon NHS Foundation Trust, Torbay Hospital, Torquay, GBR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim The purpose of this study was to evaluate the predictive usefulness of the neutrophil-to-lymphocyte ratio (NLR) in patients with acute pancreatitis (AP) and establish a threshold for the prediction of poor outcomes. Methods For this investigation, we looked back at all cases of acute pancreatitis treated at Torbay Hospital in Torquay, UK, between January 1st, 2019, and December 31st, 2020. Those who were found to have chronic pancreatitis or whose baseline laboratory values could not be obtained were not included. Each patient's entire hospital stay was analyzed, including up to 72 hours of medical and laboratory data. Results According to the Glasgow Coma Scale scoring system, 28 of the 314 included patients had severe acute pancreatitis, and 81 patients had pancreatitis with complications. Those with complications had a substantially higher NLR on day 1 (9.43 ± 7.57) than patients who recovered without complications (7.37 ± 5.88) (P-value = 0.028). The NLR on day 0 (>18.71) exhibited a sensitivity of 80%, a specificity of 90.2%, and an accuracy of 83.9% in forecasting the death of patients with pancreatitis. Conclusion Elevated baseline NLR corresponds with pancreatitis with complications and can predict mortality.

Indexed as

complicationmortalityneutrophil-to-lymphocyte ratiopancreatitissurgical acute abdomen

Identifiers

PMID36340538
PMCPMC9621742

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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.