Evidence map›Paper›PMID 27837746›Full record

ReviewMicrobiology spectrum2016

Ocular Tuberculosis.

Daniel M Albert, Meisha L Raven

Open access · bronzeAbstract readReview
In one paragraph

Review in Microbiology spectrum, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

24 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
  2. Review
  3. Primary tubercular chorioretinitis: A case report.The Journal of international medical research · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Ocular mycobacterial lesions in cats.Veterinary pathology · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Impact of Climate Change on Eye Diseases and Associated Economical Costs.International journal of environmental research and public health · 2021
    Review
  16. Review
  17. Article
  18. Article
  19. Choroidal and ciliary body tubercle: a case report.International journal of ophthalmology · 2020
    Article
  20. Iridocilary tuberculoma mimicking melanoma.Indian journal of ophthalmology · 2019
    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

2 authors.

Daniel M AlbertDepartment of Ophthalmology and Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792.
Meisha L RavenDepartment of Ophthalmology and Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792.

Funding

UW Vision Research Core - Administrative CoreP30EY016665 · NEI · UNIVERSITY OF WISCONSIN-MADISON · PI ROBERT W NICKELLS · 2005 to 2026
$12.6M
NEI NIH HHS P30 EY016665
6 · The paper itself

Abstract

Ocular tuberculosis is an extrapulmonary mycobacterial infection with variable manifestations. The reported incidence of ocular involvement varies considerably, depending on the criteria used for diagnosis and the population sampled. However, tuberculosis is thought to affect the lungs in 80% of patients, with the remaining 20% being affected in other organs, such as the eye. It is imperative for physicians to consider this diagnosis in their differential, as ocular tuberculosis can present in a fashion similar to that of more common conditions causing ocular inflammation. In addition, prompt recognition of the clinical signs and symptoms leads to quicker initiation of antituberculosis therapy.

Indexed as

Antitubercular AgentsHumansMycobacterium tuberculosisTuberculosis, OcularAntitubercular Agents

Identifiers

PMID27837746
PMCPMC5180603
OpenAlexW4211252126

What OpenQuestion holds

Textmetadata
LicenceTDM
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.