Evidence map›Paper›PMID 30478723›Full record

ArticleJournal of gastroenterology2019

Fluid sequestration is a useful parameter in the early identification of severe disease of acute pancreatitis.

Tsuyoshi Takeda, Yousuke Nakai, Suguru Mizuno, Tatsunori Suzuki, Tatsuya Sato, Ryunosuke Hakuta, Kazunaga Ishigaki, Kei Saito, Tomotaka Saito, Takeo Watanabe and 8 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Journal of gastroenterology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Usefulness of Random Forest Algorithm in Predicting Severe Acute Pancreatitis.Frontiers in cellular and infection microbiology · 2022
    Trial
  3. Article
  4. Review
  5. Observational
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

18 authors at 4 institutions in 1 country.

Tsuyoshi TakedaDepartment of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Yousuke NakaiDepartment of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan. ynakai-tky@umin.ac.jp.
Suguru MizunoDepartment of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Tatsunori SuzukiDepartment of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Tatsuya SatoDepartment of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Ryunosuke HakutaDepartment of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Kazunaga IshigakiDepartment of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Kei SaitoDepartment of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Tomotaka SaitoDepartment of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Takeo WatanabeDepartment of Gastroenterology, Tokyo Takanawa Hospital, Tokyo, Japan.
Naminatsu TakaharaDepartment of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Dai MouriDepartment of Gastroenterology, JR Tokyo General Hospital, Tokyo, Japan.
Hirofumi KogureDepartment of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Yukiko ItoDepartment of Gastroenterology, Japanese Red Cross Medical Center, Tokyo, Japan.
Kenji HiranoDepartment of Gastroenterology, Tokyo Takanawa Hospital, Tokyo, Japan.
Minoru TadaDepartment of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Hiroyuki IsayamaDepartment of Gastroenterology, Graduate School of Medicine, Juntendo University, Tokyo, Japan.
Kazuhiko KoikeDepartment of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
The University of Tokyo · JPJapanese Red Cross Medical Center · JPJR Tokyo General Hospital · JPJuntendo University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly identification of severe disease of acute pancreatitis (AP) is of critical importance to improve the prognosis. Fluid sequestration (FS), calculated from administrated fluid and fluid output, is a simple prognostic parameter. We examined its utility in the early phase of AP.

methodsWe retrospectively investigated AP patients between January 2009 and April 2017. We compared FS in the first 24 h (FS24) with FS in the first 48 h (FS48) and administrated fluid volume within the first 24 h (FV24). Diagnostic yield for predicting intensive care unit (ICU) admission and persistent organ failure (POF) was assessed using receiver operating characteristic curves. We also evaluated risk factors for developing severe disease of AP.

resultsA total of 400 AP patients were included in the analysis (median age 64 years; male 60%). According to the Japanese severity criteria, 158 patients (40%) were diagnosed as severe disease. The rates of mortality, ICU admission and POF were 0.8%, 4.5% and 7.3%, respectively. FS24 showed a similar predictive accuracy in comparison with FS48 and was superior to FV24 in predicting ICU admission and POF. FS24 ≥ 1.6 L, male sex, presence of systemic inflammatory response syndrome and computed tomography severity index ≥ 3 on admission were independent risk factors for disease progression in AP in the multivariate analysis.

conclusionsFS24 was a simple and easily calculated parameter with high predictive accuracy for discriminating patients who needed intensive care. Patients with FS24 ≥ 1.6 L had an increased risk of developing severe disease.

Indexed as

Fluid TherapyAcute DiseaseAdolescentAdultAgedAged, 80 and overDisease ProgressionFemaleHumansIntensive Care UnitsMaleMiddle AgedPancreatitisPrognosisRetrospective StudiesRisk FactorsAcute pancreatitisFluid sequestrationFluid volumeRisk factorSeverity prediction

Identifiers

PMID30478723
OpenAlexW2902837615

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.