Evidence map›Paper›PMID 19842226›Full record

ArticleWorld journal of gastroenterology2009

Clinical outcomes in patients with ICU-related pancreatitis.

Chia-Cheng Tseng, Wen-Feng Fang, Yu-Hsiu Chung, Yi-Hsi Wang, Ivor S Douglas, Meng-Chih Lin

Abstract readComparative Study
In one paragraph

Article in World journal of gastroenterology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

6 authors.

Chia-Cheng TsengDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Chang Gung Memorial Hospital, No. 123, Ta-Pei Road, Niao-Sung Hsiang, Kaohsiung Hsien 83301, Taiwan, China.
Wen-Feng Fang
Yu-Hsiu Chung
Yi-Hsi Wang
Ivor S Douglas
Meng-Chih Lin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo identify risk factors predictive of intensive care unit (ICU) mortality in patients with ventilator-related pancreatitis. The clinical outcomes of patients with ventilator-related pancreatitis were compared with those of patients with pancreatitis-related respiratory failure as well as controls.

methodsOne hundred and forty-eight patients with respiratory failure requiring mechanical ventilation and concomitant acute pancreatitis were identified from a prospectively collected dataset of 9108 consecutive patients admitted with respiratory failure over a period of five years. Sixty patients met the criteria for ventilator-related pancreatitis, and 88 (control patients), for pancreatitis-related respiratory failure.

resultsMortality rate in ventilator-related pancreatitis was comparable to that in ICU patients without pancreatitis by case-control methodology (P = 0.544). Multivariate logistic regression analysis identified low PaO(2)/FiO(2) (OR: 1.032, 95% CI: 1.006-1.059, P = 0.016) as an independent risk factor for mortality in patients with ventilator-related pancreatitis. The mortality rate in patients with ventilator-related pancreatitis was lower than that in patients with acute pancreatitis-related respiratory failure (P < 0.001).

conclusionWe found that low PaO(2)/FiO(2) was an independent clinical parameter predictive of ICU mortality in patients with ventilator-related pancreatitis.

Indexed as

Intensive Care UnitsAcute DiseaseAdultAgedAged, 80 and overFemaleHumansKaplan-Meier EstimateLogistic ModelsMaleMiddle AgedOdds RatioOxygenPancreatitisRespiration, ArtificialRespiratory InsufficiencyOxygen

Identifiers

PMID19842226
PMCPMC2764973

What OpenQuestion holds

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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.