Evidence map›Paper›PMID 31131255›Full record

ArticleProcesses (Basel, Switzerland)2018

Modeling the Dynamics of Human Liver Failure Post Liver Resection.

Babita K Verma, Pushpavanam Subramaniam, Rajanikanth Vadigepalli

Open access · goldAbstract read
In one paragraph

Article in Processes (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

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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

3 authors at 2 institutions in 2 countries.

Babita K VermaDaniel Baugh Institute for Functional Genomics/Computational Biology, Department of Pathology, Anatomy and Cell Biology, Thomas Jefferson University, Philadelphia, PA 19107, USA.
Pushpavanam SubramaniamDepartment of Chemical Engineering, Indian Institute of Technology-Madras, Chennai 600036, India.
Rajanikanth VadigepalliDaniel Baugh Institute for Functional Genomics/Computational Biology, Department of Pathology, Anatomy and Cell Biology, Thomas Jefferson University, Philadelphia, PA 19107, USA.ORCID 0000-0002-8405-1037
Thomas Jefferson University · USIndian Institute of Technology Madras · IN

Funding

Ethanol Effects on the Transcriptional Regulatory Network in Liver Regeneration -R01AA018873 · NIAAA · THOMAS JEFFERSON UNIVERSITY · PI SRIVASTAVA, ANKITA · 2009 to 2025
$8.7M
Modeling Multiscale Control of Liver RegenerationU01EB023224 · NIBIB · THOMAS JEFFERSON UNIVERSITY · PI HOEK, JOANNES B, VADIGEPALLI, RAJANIKANTH · 2017 to 2020
$2.5M
NIAAA NIH HHS R01 AA018873NIBIB NIH HHS U01 EB023224
6 · The paper itself

Abstract

Liver resection is an important clinical intervention to treat liver disease. Following liver resection, patients exhibit a wide range of outcomes including normal recovery, suppressed recovery, or liver failure, depending on the regenerative capacity of the remnant liver. The objective of this work is to study the distinct patient outcomes post hepatectomy and determine the processes that are accountable for liver failure. Our model based approach shows that cell death is one of the important processes but not the sole controlling process responsible for liver failure. Additionally, our simulations showed wide variation in the timescale of liver failure that is consistent with the clinically observed timescales of post hepatectomy liver failure scenarios. Liver failure can take place either instantaneously or after a certain delay. We analyzed a virtual patient cohort and concluded that remnant liver fraction is a key regulator of the timescale of liver failure, with higher remnant liver fraction leading to longer time delay prior to failure. Our results suggest that, for a given remnant liver fraction, modulating a combination of cell death controlling parameters and metabolic load may help shift the clinical outcome away from post hepatectomy liver failure towards normal recovery.

Indexed as

cell deathdynamic modelingliver failureliver regenerationliver resectionvirtual patient

Identifiers

PMID31131255
PMCPMC6534166
OpenAlexW2886513104

What OpenQuestion holds

Textmetadata
LicenceTDM
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.