Evidence map›Paper›PMID 25929924›Full record

ArticleMedicine2015

A comprehensive method for predicting fatal liver failure of patients with liver cancer resection.

Jiangfa Li, Biao Lei, Xingju Nie, Linku Lin, Syed Abdul Tahir, Wuxiang Shi, Junfei Jin, Songqing He

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Predictive Value of Indocyanine Green Plasma Disappearance Rate on Liver Function and Complications After Liver Transplantation.Medical science monitor : international medical journal of experimental and clinical research · 2018
    Article
  4. Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Jiangfa LiFrom the Department of Hepatobiliary and Pancreatic Surgery (JL, LL, SAT, SH); Laboratory of Hepatobiliary and Pancreatic Surgery (JL, BL, JJ, SH), Affiliated Hospital of Guilin Medical University; Guangxi Key Laboratory of Molecular Medicine in Liver Injury and Repair (JJ, SH); School of Public Health (WS), Guilin Medical University, Guilin, Guangxi, People's Republic of China; and Department of Radiology and Radiological Science (XN), Center for Biomedical Imaging, Medical University of South Carolina, Charleston, South Carolina, USA.
Biao Lei
Xingju Nie
Linku Lin
Syed Abdul Tahir
Wuxiang Shi
Junfei Jin
Songqing He
Bridge University · SS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are many methods to assess liver function, but none of them has been verified as fully effective. The purpose of this study is to establish a comprehensive method evaluating perioperative liver reserve function (LRF) in patients with primary liver cancer (PLC).In this study, 310 PLC patients who underwent liver resection were included. The cohort was divided into a training set (n = 235) and a validation set (n = 75). The factors affecting postoperative liver dysfunction (POLD) during preoperative, intraoperative, and postoperative periods were confirmed by logistic regression analysis. The equation for calculating the preoperative liver functional evaluation index (PLFEI) was established; the cutoff value of PLFEI determined through analysis by receiver-operating characteristic curve was used to predict postoperative liver function.The data showed that body mass index, international normalized ratio, indocyanine green (ICG) retention rate at 15 minutes (ICGR15), ICG elimination rate, standard remnant liver volume (SRLV), operative bleeding volume (OBV), blood transfusion volume, and operative time were statistically different (all P < 0.05) between 2 groups of patients with and without POLD. The relationship among PLFEI, ICGR15, OBV, and SRLV is expressed as an equation of "PLFEI = 0.181 × ICGR15 + 0.001 × OBV - 0.008 × SRLV." The cutoff value of PLFEI to predict POLD was -2.16 whose sensitivity and specificity were 90.3% and 73.5%, respectively. However, when predicting fatal liver failure (FLF), the cutoff value of PLFEI was switched to -1.97 whose sensitivity and specificity were 100% and 68.8%, respectively.PLFEI will be a more comprehensive, sensitive, and accurate index assessing perioperative LRF in liver cancer patients who receive liver resection. And keeping PLFEI <-1.97 is a safety margin for preventing FLF in PLC patients who underwent liver resection.

Indexed as

AdultAgedAged, 80 and overBlood TransfusionBody Mass IndexColoring AgentsFemaleHemorrhageHepatectomyHumansIndocyanine GreenInternational Normalized RatioLiver FailureLiver Function TestsLiver NeoplasmsMaleColoring AgentsIndocyanine Green

Identifiers

PMID25929924
PMCPMC4603037
OpenAlexW2064483573

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.