Evidence map›Paper›PMID 29260300›Full record

ArticleJournal of gastroenterology2018

The recovery of the PT-INR to less than 1.3 predicts survival in patients with severe acute liver injury.

Seiichi Mawatari, Akihiro Moriuchi, Fuminori Ohba, Tetsu Kawano, Kohei Oda, Yasuhiro Takikawa, Hajime Takikawa, Akio Ido, Hirohito Tsubouchi

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Article in Journal of gastroenterology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

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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

9 authors.

Seiichi MawatariDigestive and Lifestyle Diseases, Department of Human and Environmental Sciences, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 8908544, Japan. mawatari@m2.kufm.kagoshima-u.ac.jp.ORCID http://orcid.org/0000-0002-3847-1065
Akihiro MoriuchiDigestive and Lifestyle Diseases, Department of Human and Environmental Sciences, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 8908544, Japan.
Fuminori OhbaR&D Planning Department, EA Pharma Co., Ltd., 2-1-1 Irifune, Chuo-ku, Tokyo, 1040042, Japan.
Tetsu KawanoKAN Research Institute, Inc, 6-8-2 Minatojima-Minamimachi, Chuo-Ku, Kobe, Hyogo, 6500047, Japan.
Kohei OdaDigestive and Lifestyle Diseases, Department of Human and Environmental Sciences, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 8908544, Japan.
Yasuhiro TakikawaDivision of Hepatology, Department of Internal Medicine, School of Medicine, Iwate Medical University, 19-1 Uchimaru, Morioka, 0208505, Japan.
Hajime TakikawaDepartment of Medicine, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-Ku, Tokyo, 1738606, Japan.
Akio IdoDigestive and Lifestyle Diseases, Department of Human and Environmental Sciences, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 8908544, Japan.
Hirohito TsubouchiDepartment of HGF Tissue Repair and Regenerative Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 8908544, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute liver failure is a potentially fatal disease of various etiologies for which liver transplantation is the only known curative treatment. Although the decision-making on transplantation is largely dependent on the severity of liver injury (based on predicting a fatal outcome), a statistical analysis to predict "survival" has not been extensively conducted. In this study, we investigate the medical history of patients in two distinct areas of Japan with the aim of identifying the predictors of survival in patients with acute liver injury (ALI).

methodsDatasets of 301 patients with ALI in two distinct areas (93 in southern Kyushu and 208 in northern Tohoku) of Japan, who were treated from 2004 to 2014, were included in the analysis.

resultsAmong the enrolled 301 cases, 263 patients survived without transplantation. A PT-INR of ≥ 1.3 during the clinical course was found to be adequate for predicting a poor prognosis, because all of the fatal cases emerged from this population (hazard ratios: southern Kyushu, 0.2827; northern Tohoku, 0.1862). All surviving patients showed a reduction in their PT-INR during treatment, whereas the PT-INR did not decrease in the patients with a poor prognosis. A PT-INR of < 1.3 on days 7 and 8 efficiently predicted transplant-free survival (log-rank test: southern Kyushu, P = 0.0030; northern Tohoku, P = 0.0022).

conclusionsA PT-INR of ≥ 1.3 during the clinical course might identify cases with a poor prognosis, while the recovery of the PT-INR to < 1.3 predicts transplant-free survival.

Indexed as

International Normalized RatioLiver TransplantationProthrombin TimeAcute DiseaseAdolescentAdultAgedAged, 80 and overChildClinical Decision-MakingFemaleHepatitisHospitals, UniversityHumansJapanKaplan-Meier EstimateALFALIHGFPT-INRSurvival

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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.