Evidence map›Paper›PMID 31516258›Full record

ReviewJournal of oral and maxillofacial pathology : JOMFP

Microchimerism: A new concept.

Sandhya Shrivastava, Rupali Naik, Hema Suryawanshi, Neha Gupta

Abstract readReview
In one paragraph

Review in Journal of oral and maxillofacial pathology : JOMFP. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
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  11. Donor-Specific Blood Transfusion in Lung Transplantation.Transplant international : official journal of the European Society for Organ Transplantation · 2024
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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

4 authors at 2 institutions in 1 country.

Sandhya ShrivastavaDepartment of Oral Pathology and Microbiology, Hi-Tech Dental College and Research Institute, Bhubneshwar, Odisha, India.
Rupali NaikDental Surgeon, Rural Hospital, Devrukh, Ratnagiri, Maharashtra, India.
Hema SuryawanshiDepartment of Oral Pathology and Microbiology, Chhattisgarh Dental College and Research Institute, Rajnandgaon, Chhattisgarh, India.
Neha GuptaResearch Scientist and Consultant Stemgenn Therapeutics, New Delhi, India.
Hi-Tech Medical College & Hospital · INChhattisgarh Dental College & Research Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microchimerism is the presence of cells from one individual in another genetically distinct individual. Pregnancy is the main cause of natural microchimerism through transplacental bi-directional cell trafficking between mother and fetus. In addition to a variety of cell-free substances, it is now well-recognized that some cells are also exchanged in pregnancy. Furthermore, it is now known that microchimerism persists decades later both in mother and in her progeny. The consequences of pregnancy-related microchimerism are under active investigation. However, many authors have suggested a close relationship linking fetal microchimerism and the development of autoimmune diseases. Fetal microchimerism is emerging as a potential contributing factor in certain diseases, including cancer. Parallel studies in animal and human pregnancy suggest that microchimeric fetal cells play a role in wound healing. Role of these microchimeric cells in human health and disease is discussed here.

Indexed as

Autoimmune diseasefetal-maternal traffickingmicrochimerismpregnancy

Identifiers

PMID31516258
PMCPMC6714269
OpenAlexW2970309972

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.