Evidence map›Paper›PMID 36429123›Full record

ReviewCells2022

The Influence of Interdisciplinary Work towards Advancing Knowledge on Human Liver Physiology.

Blanca Delgado-Coello, Nalu Navarro-Alvarez, Jaime Mas-Oliva

Open access · goldAbstract readReview
In one paragraph

Review in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Review
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.

Blanca Delgado-CoelloDepartment of Structural Biology and Biochemistry, Instituto de Fisiología Celular, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico.ORCID 0000-0002-6822-3302
Nalu Navarro-AlvarezDepartment of Gastroenterology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City 14080, Mexico.ORCID 0000-0003-0118-4676
Jaime Mas-OlivaDepartment of Structural Biology and Biochemistry, Instituto de Fisiología Celular, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico.ORCID 0000-0001-8007-6993
Universidad Nacional Autónoma de México · MXInstituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The knowledge accumulated throughout the years about liver regeneration has allowed a better understanding of normal liver physiology, by reconstructing the sequence of steps that this organ follows when it must rebuild itself after being injured. The scientific community has used several interdisciplinary approaches searching to improve liver regeneration and, therefore, human health. Here, we provide a brief history of the milestones that have advanced liver surgery, and review some of the new insights offered by the interdisciplinary work using animals, in vitro models, tissue engineering, or mathematical models to help advance the knowledge on liver regeneration. We also present several of the main approaches currently available aiming at providing liver support and overcoming organ shortage and we conclude with some of the challenges found in clinical practice and the ethical issues that have concomitantly emerged with the use of those approaches.

Indexed as

LiverLiver RegenerationAnimalsHumansHyperplasiaKnowledgeTissue Engineeringcompensatory hyperplasiadecellularizationinterdisciplinary researchliver regenerationtissue engineeringxenotransplantation

Identifiers

PMID36429123
PMCPMC9688355
OpenAlexW4309717427

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.