Evidence map›Paper›PMID 32205940›Full record

ArticleIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine2020

Comparison of Acute Physiology and Chronic Health Evaluation II, Modified Computed Tomography Severity Index, and Bedside Index for Severity in Acute Pancreatitis Score in Predicting the Severity of Acute Pancreatitis.

Rudrarpan Chatterjee, Nitesh Parab, Basavaraj Sajjan, Vidya S Nagar

Open access · diamondAbstract read
In one paragraph

Article in Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
3.7field-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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  5. Diagnosis of infected pancreatic necrosis: A review of the role of blood biomarkers.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2025
    Review
  6. Article
  7. Article
  8. Turkish Society of Gastroenterology: Pancreas Working Group, Acute Pancreatitis Committee Consensus Report.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2024
    Review
  9. Review
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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

4 authors at 1 institution in 1 country.

Rudrarpan ChatterjeeDepartment of General Medicine, Grant Medical College and Sir JJ Hospital, Mumbai, Maharashtra, India.
Nitesh ParabDepartment of General Medicine, Grant Medical College and Sir JJ Hospital, Mumbai, Maharashtra, India.
Basavaraj SajjanDepartment of General Medicine, Grant Medical College and Sir JJ Hospital, Mumbai, Maharashtra, India.
Vidya S NagarDepartment of General Medicine, Grant Medical College and Sir JJ Hospital, Mumbai, Maharashtra, India.
Grant Medical College and Sir Jamshedjee Jeejeebhoy Group of Hospitals · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aims of this studySevere acute pancreatitis has been defined recently based on the persistence of organ failure at 48 hours of admission. The bedside index for severity in acute pancreatitis (BISAP) score, a simplified scoring system to predict severity of acute pancreatitis, is proposed to be useful in early risk stratification of acute pancreatitis. Our aim was to prospectively compare BISAP score with the already established acute physiology and chronic health evaluation II (APACHE II) and modified computed tomography severity index (CTSI) scores in predicting the severity of acute pancreatitis. MATERIALS AND

methodsA total of 87 consecutive cases presenting with the first attack of acute pancreatitis were included in the study. Acute physiology and chronic health evaluation II and BISAP scores were calculated from the worst parameters in the first 24 hours, and modified CTSI was reported at 48 hours of admission. Receiver-operating characteristic (ROC) curves were plotted, and predictive accuracy of each score was calculated from the area under the curve. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated for each score.

resultsA total of 20 patients (23%) had severe acute pancreatitis with a total of 11 mortalities (12.64%), 10 of them in the severe acute pancreatitis group. Acute physiology and chronic health evaluation II, modified CTSI, and BISAP score all correlated well with each other. Modified CTSI and BISAP score also correlated with duration of hospital stay. Areas under the curve for APACHE II (≥8), modified CTSI (≥8), and BISAP score (≥2) were 0.826, 0.806, and 0.811, respectively, suggesting similar predictive accuracy.

conclusionThe BISAP score was similar to APACHE II and modified CTSI in terms of accuracy, sensitivity, specificity, and NPV. It is much easier to calculate and a useful risk stratification tool. It should be used for early triage and referral to a high dependency unit. HOW TO CITE THIS ARTICLE: Chatterjee R, Parab N, Sajjan B, Nagar VS. Comparison of Acute Physiology and Chronic Health Evaluation II, Modified Computed Tomography Severity Index, and Bedside Index for Severity in Acute Pancreatitis Score in Predicting the Severity of Acute Pancreatitis. Indian J Crit Care Med 2020;24(2):99-103.

Indexed as

Acute pancreatitisAcute physiology and chronic health evaluation IIAtlanta classificationBedside index for severity in acute pancreatitisComputed tomography severity index

Identifiers

PMID32205940
PMCPMC7075053
OpenAlexW3008601172

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LicenceCC BY-NC
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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.