Evidence map›Paper›PMID 12499424›Full record

ReviewJournal of clinical pathology2003

Diagnostic role of tests for T cell receptor (TCR) genes.

E Hodges, M T Krishna, C Pickard, J L Smith

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of clinical pathology, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

55 citing papers in PubMed, 123 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Characterization of T cell receptor repertoire in penile cancer.Cancer immunology, immunotherapy : CII · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Genetic Landscape of Peripheral T-Cell Lymphoma.Life (Basel, Switzerland) · 2022
    Review
  17. Article
  18. Article
  19. Cutaneous T cell lymphoma.Nature reviews. Disease primers · 2021
    Review
  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

4 authors at 1 institution in 1 country.

E HodgesWessex Immunology, Southampton University Hospitals NHS Trust, Tremona Road, Southampton SO16 6YD, UK. elizabethhodges@hotmail.com
M T Krishna
C Pickard
J L Smith
University of Southampton · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid advances in molecular biological techniques have made it possible to study disease pathogenesis at a genomic level. T cell receptor (TCR) gene rearrangement is an important event in T cell ontogeny that enables T cells to recognise antigens specifically, and any dysregulation in this complex yet highly regulated process may result in disease. Using techniques such as Southern blot hybridisation, polymerase chain reaction, and flow cytometry it has been possible to characterise T cell proliferations in malignancy and in diseases where T cells have been implicated in the pathogenesis. The main aim of this article is to discuss briefly the process of TCR gene rearrangement and highlight the disorders in which expansions or clonal proliferations of T cells have been recognised. It will also describe various methods that are currently used to study T cell populations in body fluids and tissue, their diagnostic role, and current limitations of the methodology.

Indexed as

Gene Rearrangement, T-LymphocyteBlotting, SouthernHumansImmunologic Deficiency SyndromesLymphoproliferative DisordersPolymerase Chain ReactionReceptors, Antigen, T-CellReceptors, Antigen, T-Cell

Identifiers

PMID12499424
PMCPMC1769865
OpenAlexW2123249056

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.