Evidence map›Paper›PMID 25709329›Full record

ReviewJournal of pharmacy & bioallied sciences

Stem cell therapy: A novel treatment approach for oral mucosal lesions.

G N Suma, Madhu Pruthi Arora, Manisha Lakhanpal

Open access · goldAbstract readReview
In one paragraph

Review in Journal of pharmacy & bioallied sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.2field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. The Therapeutic Scope of Orofacial Mesenchymal Stem Cells.Bioengineering (Basel, Switzerland) · 2025
    Review
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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.

G N SumaDepartment of Oral Medicine and Radiology, ITS CDSR, Dental College and Hospital, Muradnagar, Ghaziabad, Uttar Pradesh, India.
Madhu Pruthi AroraDepartment of Oral Medicine and Radiology, ITS CDSR, Dental College and Hospital, Muradnagar, Ghaziabad, Uttar Pradesh, India.
Manisha LakhanpalDepartment of Oral Medicine and Radiology, ITS CDSR, Dental College and Hospital, Muradnagar, Ghaziabad, Uttar Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stem cells have enormous potential to alleviate sufferings of many diseases that currently have no effective therapy. The research in this field is growing at an exponential rate. Stem cells are master cells that have specialized capability for self-renewal, potency and capability to differentiate to many cell types. At present, the adult mesenchymal stem cells are being used in the head and neck region for orofacial regeneration (including enamel, dentin, pulp and alveolar bone) in lieu of their proliferative and regenerative properties, their use in the treatment of oral mucosal lesions is still in budding stages. Moreover, there is scanty literature available regarding role of stem cell therapy in the treatment of commonly seen oral mucosal lesions like oral submucous fibrosis, oral lichen planus, oral ulcers and oral mucositis. The present review will focus on the current knowledge about the role of stem cell therapies in oral mucosal lesions and could facilitate new advancements in this area (articles were obtained from electronic media like PubMed, EBSCO, Cochrane and Medline etc., from year 2000 to 2014 to review the role of stem cell therapy in oral mucosal lesions).

Indexed as

Leukoplakialichen planusmucositisoral carcinomaoral mucosal lesionsoral submucous fibrosisoral ulcerspemphigusstem cell therapy

Identifiers

PMID25709329
PMCPMC4333622
OpenAlexW2045370990

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.