Evidence map›Paper›PMID 29164450›Full record

ArticleJapanese journal of radiology2018

Accuracy of early CT findings for predicting disease course in patients with acute pancreatitis.

Onur Taydas, Emre Unal, Ali Devrim Karaosmanoglu, Mehmet Ruhi Onur, Erhan Akpinar

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In one paragraph

Article in Japanese journal of radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Observational
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  7. 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

5 authors at 1 institution in 1 country.

Onur TaydasSchool of Medicine, Department of Radiology, Hacettepe University, 06100, Ankara, Turkey. taydasonur@gmail.com.ORCID http://orcid.org/0000-0002-9881-7240
Emre UnalSchool of Medicine, Department of Radiology, Hacettepe University, 06100, Ankara, Turkey.
Ali Devrim KaraosmanogluSchool of Medicine, Department of Radiology, Hacettepe University, 06100, Ankara, Turkey.
Mehmet Ruhi OnurSchool of Medicine, Department of Radiology, Hacettepe University, 06100, Ankara, Turkey.
Erhan AkpinarSchool of Medicine, Department of Radiology, Hacettepe University, 06100, Ankara, Turkey.
Hacettepe University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate whether computed tomography (CT)-based scoring systems obtained within 72 h of symptoms onset can predict disease course in acute pancreatitis.

methodsBetween October 2007 and December 2015, 189 patients (age range 21-93 years) who underwent abdominopelvic CT for the diagnosis of acute pancreatitis were included in the study. Balthazar grade and original and modified versions of CT severity index (CTSI) measurements were carried out for each patient.

resultsThere were significant associations between each CT based scoring system and development of pancreatic and extrapancreatic complications (p < 0.001). A cutoff value of > 6 for CTSI and > 9 for the modified version of CTSI achieved a specificity of 98.7 and 99.2% for predicting pancreatic and extrapancreatic complications with areas under the curve (AUC) of 0.96 and 0.96, respectively. Balthazar grade of > C yielded a sensitivity of 98.4% for predicting pancreatic and extrapancreatic complications with an AUC of 0.95. The modified version of CTSI had the most significant association with pancreatic and extrapancreatic complications (HR: 3.22; p = 0.002, HR: 2.99, p = 0.003, respectively). Pancreatic necrosis was the only parameter significantly associated with mortality (HR: 5.83, p = 0.045).

conclusionEarly CT scan has an important role in prediction of complications and the management of acute pancreatitis.

Indexed as

Acute DiseaseAdultAgedAged, 80 and overArea Under CurveDisease ProgressionFemaleHumansMaleMiddle AgedPancreasPancreatitisPredictive Value of TestsReproducibility of ResultsRetrospective StudiesRisk FactorsAcute pancreatitisComplicationComputed tomographyPrognosisSeverity index

Identifiers

PMID29164450
OpenAlexW2769179924

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.