Evidence map›Paper›PMID 25279149›Full record

ArticleBiomedical reports2014

DNA profiling in peripheral blood, buccal swabs, hair follicles and semen from a patient following allogeneic hematopoietic stem cells transplantation.

Ya-Ting Li, Ming-Kun Xie, Jin Wu

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedical reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 27% 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

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

  1. Pooled it
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  3. Article
  4. Article
  5. Article
  6. 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 at 1 institution in 1 country.

Ya-Ting LiDepartment of Forensic Genetics, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu, Sichuan 610041, P.R. China.
Ming-Kun XieDepartment of Forensic Genetics, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu, Sichuan 610041, P.R. China.
Jin WuDepartment of Forensic Genetics, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu, Sichuan 610041, P.R. China.
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Allogeneic peripheral blood stem cells transplantation (allo-PBSCT) or allogeneic bone marrow transplantation (allo-BMT) have been widely used to treat patients exhibiting certain severe illnesses. However, previous studies have shown that the biological materials of allo-PBSCT or allo-BMT recipients may not constitute credible materials for personal identification. In the present study, four types of commonly used samples were collected from a male individual following gender-matched allo-BMT. Autosomal short tandem repeat (STR) and Y-STR markers analysis, based on polymerase chain reaction, were used to evaluate the chimerism status. The results showed that the blood sample were all donor type, the buccal swab sample were mixed chimerism, and the sperm and hair follicle samples maintained a recipient origin of 100%. In conclusion, identical results were obtained by the two methods and it was confirmed that DNA extracted from hair follicles and sperm can be used as a reference for the pre-transplant genotype DNA profile of the recipient in the gender-match allo-BMT or -PBSCT.

Indexed as

short tandem repeatY chromosome markers stem cell transplantation

Identifiers

PMID25279149
PMCPMC4179770
OpenAlexW2040247557

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.