Evidence map›Paper›PMID 23265553›Full record

ReviewPathogens and global health2012

Immunological and molecular diagnosis of cysticercosis.

Silvia Rodriguez, Patricia Wilkins, Pierre Dorny

Abstract readReview
In one paragraph

Review in Pathogens and global health, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 5 pooled it
4.0field-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

74 citing papers in PubMed, 5 syntheses or guidelines pooled it, 154 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Trial
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Immunol detection of cathepsin L fromActa biochimica et biophysica Sinica · 2023
    Article
  19. Article
  20. Article

14 more citing papers are in PubMed but not listed here.

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 3 institutions in 3 countries.

Silvia RodriguezInfectious Diseases, Instituto Nacional de Ciencias Neurológicas, Jr. Anchash 1271, Lima 1, Peru. silvia@peruresearch.org
Patricia Wilkins
Pierre Dorny
Centers for Disease Control and Prevention · USInstitute of Peruvian Studies · PEInstituut voor Tropische Geneeskunde · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cysticercosis, the infection with the larval stage of Taenia solium, is a cause of neurological symptoms including seizures, affecting the quality of life of patients and their families. Diagnosis focuses on brain imaging and serological tests are mostly used as confirmatory tools. Most cases, however, occur in poor endemic areas, where both kinds of diagnostic tools are poorly available. Development of point of care diagnostic tests is one of the most important priorities for cysticercosis researches today. The ideal point of care test would require detection of viable cysticercosis and hopefully identify cases with severe or progressive forms of neurocysticercosis, leading to referral of the patient for specialized medical attention. This manuscript describes the evolution of the serological diagnosis of cysticercosis over time, and the characteristics of the most common currently available tools, their advantages and disadvantages, and their potential use in future diagnostic tests.

Indexed as

AnimalsCysticercosisHumansMolecular Diagnostic TechniquesParasitologyPoint-of-Care SystemsSerologic TestsTaenia solium

Identifiers

PMID23265553
PMCPMC4005112
OpenAlexW1964540384

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.