Evidence map›Paper›PMID 25733696›Full record

ArticleGastroenterology report2016

Predicting morbidity and mortality in acute pancreatitis in an Indian population: a comparative study of the BISAP score, Ranson's score and CT severity index.

Jitin Yadav, Sanjay Kumar Yadav, Satish Kumar, Ranjan George Baxla, Dipendra Kumar Sinha, Pankaj Bodra, Ram Chandra Besra, Babu Mani Baski, Om Prakash, Abhinav Anand

Open access · diamondAbstract read
In one paragraph

Article in Gastroenterology report, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 4 pooled it
1.8field-weighted citation impact, top 15% 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, 4 syntheses or guidelines pooled it, 38 citations in OpenAlex.

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  11. 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
  12. Review
  13. Article
  14. Predicting Severity of Acute Pancreatitis.Medicina (Kaunas, Lithuania) · 2022
    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

10 authors at 1 institution in 1 country.

Jitin YadavDepartment of General Surgery, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India.
Sanjay Kumar YadavDepartment of General Surgery, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India sky1508@gmail.com.
Satish KumarDepartment of General Surgery, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India.
Ranjan George BaxlaDepartment of General Surgery, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India.
Dipendra Kumar SinhaDepartment of General Surgery, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India.
Pankaj BodraDepartment of General Surgery, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India.
Ram Chandra BesraDepartment of General Surgery, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India.
Babu Mani BaskiDepartment of General Surgery, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India.
Om PrakashDepartment of General Surgery, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India.
Abhinav AnandDepartment of General Surgery, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India.
Rajendra Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveOur aim was to prospectively evaluate the accuracy of the bedside index for severity in acute pancreatitis (BISAP) score in predicting mortality, as well as intermediate markers of severity, in a tertiary care centre in east central India, which caters mostly for an economically underprivileged population.

methodsA total of 119 consecutive cases with acute pancreatitis were admitted to our institution between November 2012 and October 2014. BISAP scores were calculated for all cases, within 24 hours of presentation. Ranson's score and computed tomography severity index (CTSI) were also established. The respective abilities of the three scoring systems to predict mortality was evaluated using trend and discrimination analysis. The optimal cut-off score for mortality from the receiver operating characteristics (ROC) curve was used to evaluate the development of persistent organ failure and pancreatic necrosis (PNec).

resultsOf the 119 cases, 42 (35.2%) developed organ failure and were classified as severe acute pancreatitis (SAP), 47 (39.5%) developed PNec, and 12 (10.1%) died. The area under the curve (AUC) results for BISAP score in predicting SAP, PNec, and mortality were 0.962, 0.934 and 0.846, respectively. Ranson's score showed a slightly lower accuracy for predicting SAP (AUC 0.956) and mortality (AUC 0.841). CTSI was the most accurate in predicting PNec, with an AUC of 0.958. The sensitivity and specificity of BISAP score, with a cut-off of ≥3 in predicting mortality, were 100% and 69.2%, respectively.

conclusionsThe BISAP score represents a simple way of identifying, within 24 hours of presentation, patients at greater risk of dying and the development of intermediate markers of severity. This risk stratification method can be utilized to improve clinical care and facilitate enrolment in clinical trials.

Indexed as

acute pancreatitisbedside index for severity in acute pancreatitis (BISAP)computed tomography severity index (CTSI)mortalityRanson’s score

Identifiers

PMID25733696
PMCPMC4976677
OpenAlexW2125332889

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LicenceCC BY
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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.