Evidence map›Paper›PMID 23974275›Full record

ArticleChimerism

Detection and quantification of chimerism by droplet digital PCR.

David George, Juliann Czech, Bobby John, Min Yu, Lawrence J Jennings

Abstract read
In one paragraph

Article in Chimerism. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
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

21 citing papers in PubMed.

  1. Article
  2. Review
  3. Viral airway injury promotes cell engraftment in an in vitro model of cystic fibrosis cell therapy.American journal of physiology. Lung cellular and molecular physiology · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Review
  15. Digital PCR in Myeloid Malignancies: Ready to Replace Quantitative PCR?International journal of molecular sciences · 2019
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

5 authors.

David GeorgeDepartment of Pathology and Laboratory Medicine; Ann & Robert H. Lurie Children's Hospital of Chicago; Chicago, IL USA.
Juliann Czech
Bobby John
Min Yu
Lawrence J Jennings

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate quantification of chimerism and microchimerism is proving to be increasingly valuable for hematopoietic cell transplantation as well as non-transplant conditions. However, methods that are available to quantify low-level chimerism lack accuracy. Therefore, we developed and validated a method for quantifying chimerism based on digital PCR technology. We demonstrate accurate quantification that far exceeds what is possible with analog qPCR down to 0.01% with the potential to go even lower. Also, this method is inherently more informative than qPCR. We expect the advantages of digital PCR will make it the preferred method for chimerism analysis.

Indexed as

ChimerismAmelogeninChromosomes, Human, XChromosomes, Human, YData Interpretation, StatisticalDNAFemaleGenetic VariationGenome, HumanHumansMaleMutationPolymerase Chain ReactionStem Cell TransplantationTransplantation ChimeraAmelogeninDNAchimerismdigitalinformative locilimit of detectionmicrochimerismPCRquantitative

Identifiers

PMID23974275
PMCPMC3782543

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.