Evidence map›Paper›PMID 36638178›Full record

ArticleScience advances2023

LAMP-enabled diagnosis of Kaposi's sarcoma for sub-Saharan Africa.

Duncan McCloskey, Aggrey Semeere, Racheal Ayanga, Miriam Laker-Oketta, Robert Lukande, Matthew Semakadde, Micheal Kanyesigye, Megan Wenger, Philip LeBoit, Timothy McCalmont and 6 more

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 8 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

16 authors at 7 institutions in 2 countries.

Duncan McCloskeyMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14850, USA.ORCID 0000-0001-7738-0142
Aggrey SemeereInfectious Diseases Institute, Makerere University College of Health Sciences, Kampala, Uganda.
Racheal AyangaInfectious Diseases Institute, Makerere University College of Health Sciences, Kampala, Uganda.
Miriam Laker-OkettaInfectious Diseases Institute, Makerere University College of Health Sciences, Kampala, Uganda.
Robert LukandePathology Department, Makerere University College of Health Sciences, Kampala, Uganda.ORCID 0000-0001-9449-6649
Matthew SemakaddeHIV Clinic, Masaka Regional Referral Hospital, Masaka, Uganda.
Micheal KanyesigyeImmune Suppression Syndrome Clinic, Mbarara Regional Referral Hospital, Mbarara, Uganda.ORCID 0000-0003-1936-7681
Megan WengerDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA 94143, USA.
Philip LeBoitPathology and Laboratory Medicine, University of California, San Francisco, San Francisco, CA 94143, USA.
Timothy McCalmontPathology and Laboratory Medicine, University of California, San Francisco, San Francisco, CA 94143, USA.
Toby MaurerDepartment of Dermatology, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
Andrea GardnerPathology and Laboratory Medicine, Weill Cornell Medical College; New York, NY, 10021, USA.ORCID 0000-0001-5572-1647
Juan BozaMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14850, USA.
Ethel CesarmanPathology and Laboratory Medicine, Weill Cornell Medical College; New York, NY, 10021, USA.
Jeffrey MartinDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA 94143, USA.ORCID 0000-0002-9773-3256
David EricksonSibley School of Mechanical and Aerospace Engineering, Cornell University; Ithaca, NY, 14850, USA.ORCID 0000-0002-1624-9711
Cornell University · USUniversity of California, San Francisco · USInfectious Diseases Institute · UGIndiana University School of MedicineMakerere University · UGMasaka Hospital · UGMbarara National Referral Hospital · UG

Funding

United States-East Africa HIV-Associated Malignancy Research Center (USEAHAMRC) for Career Development and the Prevention, Early Detection and Efficient Linkage to Care for Virus-related CancersU54CA254571 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MARTIN, JEFFREY N · 2020 to 2025
$5.6M
Early Stage Diagnosis of Kaposi's Sarcoma in Limited Resource Settings using KS-DetectUH3CA202723 · NCI · CORNELL UNIVERSITY · PI ERICKSON, DAVID CARL, MARTIN, JEFFREY N · 2018 to 2021
$3.2M
Rapid Sample-to-Answer Diagnosis of Kaposi's Sarcoma Across Sub-Saharan Africa using KS-COMPLETEU01CA269199 · NCI · CORNELL UNIVERSITY · PI Ethel Cesarman, David Carl Erickson · 2022 to 2026
$3.0M
NCI NIH HHS U01 CA269199NCI NIH HHS U54 CA254571NCI NIH HHS UH3 CA202723
6 · The paper itself

Abstract

Kaposi's sarcoma (KS) is an endothelial cancer caused by the Kaposi's sarcoma-associated herpesvirus (KSHV) and is one of the most common cancers in sub-Saharan Africa. In limited-resource settings, traditional pathology infrastructure is often insufficient for timely diagnosis, leading to frequent diagnoses at advanced-stage disease where survival is poor. In this study, we investigate molecular diagnosis of KS performed in a point-of-care device to circumvent the limited infrastructure for traditional diagnosis. Using 506 mucocutaneous biopsies collected from patients at three HIV clinics in Uganda, we achieved 97% sensitivity, 92% specificity, and 96% accuracy compared to gold standard U.S.-based pathology. The results presented in this manuscript show that LAMP-based quantification of KSHV DNA extracted from KS-suspected biopsies has the potential to serve as a successful diagnostic for the disease and that diagnosis may be accurately achieved using a point-of-care device, reducing the barriers to obtaining KS diagnosis while increasing diagnostic accuracy.

Identifiers

PMID36638178
PMCPMC11318663
OpenAlexW4316015886

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.