Evidence map›Paper›PMID 33829335›Full record

ArticleSurgery today2021

Predictive scoring system for advanced liver fibrosis in Japanese patients with severe obesity.

Haruka Nikai, Akira Sasaki, Akira Umemura, Naoto Takahashi, Hiroyuki Nitta, Risaburo Akasaka, Keisuke Kakisaka, Hidekatsu Kuroda, Kazuyuki Ishida, Yasuhiro Takikawa

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Article in Surgery today, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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.

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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.

Haruka NikaiDepartment of Surgery, Iwate Medical University, 2-1-1 Idaidori, Yahaba, 028-3695, Japan.
Akira SasakiDepartment of Surgery, Iwate Medical University, 2-1-1 Idaidori, Yahaba, 028-3695, Japan. sakira@iwate-med.ac.jp.
Akira UmemuraDepartment of Surgery, Iwate Medical University, 2-1-1 Idaidori, Yahaba, 028-3695, Japan.
Naoto TakahashiDepartment of Surgery, Iwate Medical University, 2-1-1 Idaidori, Yahaba, 028-3695, Japan.
Hiroyuki NittaDepartment of Surgery, Iwate Medical University, 2-1-1 Idaidori, Yahaba, 028-3695, Japan.
Risaburo AkasakaDivision of Gastroenterology, Department of Internal Medicine, Iwate Medical University, 2-1-1 Idaidori, Yahaba, 028-3695, Japan.
Keisuke KakisakaDivision of Hepatology, Department of Internal Medicine, Iwate Medical University, 2-1-1 Idaidori, Yahaba, 028-3695, Japan.
Hidekatsu KurodaDivision of Hepatology, Department of Internal Medicine, Iwate Medical University, 2-1-1 Idaidori, Yahaba, 028-3695, Japan.
Kazuyuki IshidaDepartment of Pathology, Dokkyo Medical University, 880 Kitakobayashi, Mibu, Tochigi, 321-0293, Japan.
Yasuhiro TakikawaDivision of Hepatology, Department of Internal Medicine, Iwate Medical University, 2-1-1 Idaidori, Yahaba, 028-3695, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study was to examine the predictive scoring system of advanced liver fibrosis in severely obese Japanese patients.

methodsSeventy-two patients underwent laparoscopic sleeve gastrectomy and intraoperative liver biopsies. We classified these patients into two groups: Brunt stage ≥ 2 (advanced fibrosis) and 0/1 (none/mild fibrosis). A logistic regression analysis was performed to identify the predictors of advanced fibrosis.

resultsSixteen patients had advanced fibrosis, while 56 had no/mild fibrosis. The prevalence of type 2 diabetes mellitus (T2DM) in advanced fibrosis group was significantly higher than in none/mild fibrosis. An univariate analysis of the factors predicting advanced fibrosis showed significant differences in AST/ALT ratio, serum insulin levels, HOMA-IR, and type IV collagen 7S in the T2DM group. According to a multivariate analysis, type IV collagen 7S was an independent predictor and the cutoff value was 5.6 ng/mL. We created a flow chart; high risk (T2DM and type IV collagen 7S ≥ 5.6 ng/mL), moderate risk (T2DM and type IV collagen 7S < 5.6 ng/mL), and low risk (non-DM). For those at high risk, the sensitivity, specificity, positive predictive value, and negative predictive value were 56.2%, 94.4%, 75.0%, and 87.9%, respectively.

conclusionThis classification system has the potential to accurately categorize the risk of liver fibrosis.

Indexed as

Research DesignAsian PeopleBiomarkersBiopsyCollagen Type IVDiabetes Mellitus, Type 2ForecastingGastrectomyHumansIntraoperative PeriodLaparoscopyLiverLiver CirrhosisLogistic ModelsObesityPredictive Value of TestsBiomarkersCollagen Type IVBariatric surgeryLaparoscopic sleeve gastrectomyLiver fibrosisMorbid obesityNonalcoholic steatohepatitis

Identifiers

PMID33829335

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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.