Evidence map›Paper›PMID 35764876›Full record

ArticleEye (London, England)2023

The Collaborative Ocular Tuberculosis Study (COTS) calculator-a consensus-based decision tool for initiating antitubercular therapy in ocular tuberculosis.

Rupesh Agrawal, Zhang Ludi, Bjorn K Betzler, Ilaria Testi, Sarakshi Mahajan, Andres Rousellot, John H Kempen, Justine R Smith, Peter McCluskey, Quan Dong Nguyen and 2 more

Open access · greenAbstract read
In one paragraph

Article in Eye (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

7 citing papers in PubMed, 21 citations in OpenAlex.

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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

12 authors at 9 institutions in 6 countries.

Rupesh AgrawalNational Healthcare Group Eye Institute, Tan Tock Seng Hospital, Singapore, Singapore. rupesh_agrawal@ttsh.com.sg.ORCID 0000-0002-6662-5850
Zhang LudiLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Bjorn K BetzlerYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID 0000-0002-4843-7514
Ilaria TestiNational Institute for Health Research Biomedical Research Centre, Moorfields Eye Hospital, London, UK.
Sarakshi MahajanSt Joseph Mercy Hospital, Oakland, Pontiac, MI, USA.
Andres RousellotCiudad Autónoma de Buenos Aires, Consultorios Oftalmológicos Benisek-Ascarza, Buenos Aires, Argentina.ORCID 0000-0003-2341-0988
John H KempenDepartment of Ophthalmology, Schepens Eye Research Institute, Massachusetts Eye and Ear/Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-2967-4792
Justine R SmithFlinders University College of Medicine & Public Health, Adelaide, SA, Australia.
Peter McCluskeySave Sight Institute, Department of Ophthalmology, The University of Sydney, Sydney, NSW, Australia.
Quan Dong NguyenByers Eye Institute, Stanford Medical School, Palo alto, CA, USA.ORCID 0000-0002-6024-8441
Carlos PavesioNational Institute for Health Research Biomedical Research Centre, Moorfields Eye Hospital, London, UK.
Vishali GuptaAdvanced Eye Centre, Post-Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India. vishalisara@gmail.com.
Nanyang Technological University · SGNational Institute for Health Research · GBFlinders University · AUMassachusetts Eye and Ear Infirmary · USNational University of Singapore · SGPost Graduate Institute of Medical Education and Research · INSmith-Kettlewell Eye Research Institute · USThe University of Sydney · AUTrinity Health Oakland Hospital · US

Funding

Stanford Vision Research CoreP30EY026877 · NEI · STANFORD UNIVERSITY · PI Jeffrey L Goldberg · 2017 to 2026
$8.0M
NEI NIH HHS P30 EY026877
6 · The paper itself

Abstract

objectiveTo introduce the Collaborative Ocular Tuberculosis Study (COTS) Calculator, an online clinical scoring system for initiating antitubercular therapy (ATT) in patients with ocular tuberculosis (TB).

methodThe COTS Calculator was derived from COTS Consensus (COTS CON) data, which has previously published consensus guidelines. Using a two-step Delphi method, 81 experts evaluated 486 clinical scenario-based questions, ranking their likelihood of initiating ATT in each specific scenario. Each scenario was a permutation of the results and/or availability of five following components-clinical phenotype, endemicity, two immunological (tuberculin skin test, interferon-γ release assay) and one radiological (chest X-Ray) test results-and a sixth component further stratifying three of the clinical phenotypes. The median scores and interquartile ranges (IQR) of each scenario were tabulated, representing the expert consensus on whether to initiate ATT in that scenario. The consensus table was encoded to develop the COTS Calculator.

resultsThe COTS Calculator can be accessed online at: https://www.oculartb.net/cots-calc . The attending physician can select the conditions present in the patient, which will generate a median score from 1 to 5. 114 out of 486 scenarios (24%) deliberated had a median score of 5 indicating expert consensus to initiate ATT.

conclusionThe COTS Calculator is an efficient, low-cost, evidence and experience-based clinical tool to guide ATT initiation. While it holds substantial promise in improving standard-of-care for ocular-TB patients, future validation studies can help to as certain its clinical utility and reliability.

Indexed as

Tuberculosis, OcularAntitubercular AgentsCognitionConsensusHumansPractice Guidelines as TopicReproducibility of ResultsAntitubercular Agents

Identifiers

PMID35764876
PMCPMC10170101
OpenAlexW4283643568

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.