Evidence map›Paper›PMID 26202499›Full record

ArticleHepatology international2014

Bone marrow stem-cell therapy for genetic and chronic liver diseases.

Veena Kochat, Prakash Baligar, Rakhi Maiwall, Asok Mukhopadhyay

Abstract read
PubMed Publisher
In one paragraph

Article in Hepatology international, 2014. 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
0.4field-weighted citation impact, top 37% 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, 5 citations in OpenAlex.

  1. Article
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

4 authors at 2 institutions in 1 country.

Veena KochatStem Cell Biology Laboratory, National Institute of Immunology, Aruna Asaf Ali Marg, New Delhi, 110067, India.
Prakash BaligarStem Cell Biology Laboratory, National Institute of Immunology, Aruna Asaf Ali Marg, New Delhi, 110067, India.
Rakhi MaiwallInstitute of Liver and Biliary Sciences, Vasant Kunj, New Delhi, India.
Asok MukhopadhyayStem Cell Biology Laboratory, National Institute of Immunology, Aruna Asaf Ali Marg, New Delhi, 110067, India. ashok@nii.ac.in.
National Institute of Immunology · INInstitute of Liver and Biliary Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are no permanent remedies for patients suffering from genetic liver diseases (GLDs) and liver cirrhosis (LC). In such cases, liver transplantation has resulted in improved quality of life, but it is not affordable by most patients. Therefore, a cost-effective, safe, and permanent cure for these diseases is desirable. Cell therapy seems an encouraging option for treatment of these liver diseases in the future. Animal experiments and clinical studies have demonstrated that, depending on the nature of the liver disease and the patient, autologous and/or allogeneic bone marrow (BM)-derived stem-cell therapy could be a promising treatment option. Although no clinical trials using BM-derived stem cells for treatment of GLD have yet been conducted, many phase I clinical trials have been conducted and a few such trials for the treatment of LC by use of autologous and/or allogeneic cells are in progress. Overall, the results of these trials are indicative of clinical benefits with no adverse effect on the patients. This review focuses on the current status of BM stem-cell therapy for treatment of GLD and LC in experimental animals and human subjects. It also proposes safer approaches to immune-regulation in allogeneic transplantation of cells.

Indexed as

Bone marrow stem cellsGenetic liver diseaseImmunological toleranceTransdifferentiation

Identifiers

PMID26202499
OpenAlexW1972162303

What OpenQuestion holds

Textmetadata
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.