Evidence map›Paper›PMID 31023278›Full record

ArticleBMC cancer2019

The determinants and impact of diagnostic delay in lymphoma in a TB and HIV endemic setting.

Katherine Antel, Carly Levetan, Zainab Mohamed, Vernon J Louw, Jenna Oosthuizen, Gary Maartens, Estelle Verburgh

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

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  11. The impact of tuberculosis misdiagnosis in Hodgkin lymphoma patients.The Indian journal of medical research · 2025
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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

7 authors at 2 institutions in 2 countries.

Katherine AntelDivision of Haematology, Department of Internal Medicine, University of Cape Town, Cape Town, South Africa. katherineantel@gmail.com.ORCID http://orcid.org/0000-0002-9000-5504
Carly LevetanMedical advisor, Cell and Gene Therapy, Novartis Oncology, Sydney, Australia.
Zainab MohamedDepartment of Oncology, University of Cape Town, Cape Town, South Africa.
Vernon J LouwDivision of Haematology, Department of Internal Medicine, University of Cape Town, Cape Town, South Africa.
Jenna OosthuizenDivision of Haematology, Department of Internal Medicine, University of Cape Town, Cape Town, South Africa.
Gary MaartensDivision of Pharmacology, Department of Internal Medicine, University of Cape Town, Cape Town, South Africa.
Estelle VerburghDivision of Haematology, Department of Internal Medicine, University of Cape Town, Cape Town, South Africa.
University of Cape Town · ZANovartis (Australia) · AU

Funding

Partnership for Global Health Research Training Program (Renewal)-Supplement for OBSSR, NCI, NCI-AIDS and NIDCDD43TW010543 · FIC · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Wafaie W Fawzi, DAVIDSON HOWES HAMER · 2017 to 2026
$12.1M
Research training in HIV-related transfusion medicine and hematology in South AfricaD43TW010345 · FIC · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI UTE JENTSCH, EDWARD L MURPHY · 2017 to 2026
$3.0M
FIC NIH HHS D43 TW010345FIC NIH HHS D43 TW010543Foundation for the National Institutes of Health D43TW010543
6 · The paper itself

Abstract

backgroundLittle is known about the pathway to diagnosis of lymphoma in Sub-Saharan Africa, despite the increased risk of lymphoma in people living with HIV (PLHIV). The challenges of diagnosis in this setting include diagnostic confusion with extrapulmonary tuberculosis (EPTB), which commonly causes lymphadenopathy in PLHIV.

methodsWe analysed the time to diagnosis and treatment in patients using predetermined time intervals. Univariate and multivariable analyses were performed to determine the relationship between patient and disease-specific variables with delays to diagnosis. We were particularly interested in the impact of HIV, empiric tuberculosis therapy and fine-needle aspirate for cytology (FNAC) in contributing to delay.

resultsPatients (n = 163), 29% HIV-infected, waited a median of 4 weeks before seeking medical attention. It took a median of 7 weeks for the diagnosis of lymphoma to be made from the time the patient sought medical attention, termed the healthcare practitioner interval. In multivariable logistic regression analysis, diagnostic delay > 6 weeks was associated with late-stage disease (OR 2.3, 95% CI 1.1-5.2) and Hodgkin lymphoma (HL) (OR 3.0, 95% CI 1.1-8.0). HIV status was not associated with diagnostic delay (OR 0.9, 95% CI 0.3-2.2). The median time to diagnosis was a median of 4 weeks longer for patients on tuberculous (TB) therapy (n = 16, p = 0.28) and patients who underwent an FNAC (n = 63, p = 0.04). Where FNAC was performed, it was diagnostic for lymphoma in only 11%. Diagnostic delay was not associated with overall survival.

conclusionsTime-to-diagnosis of lymphoma in South Africa was similar to that reported from high-income countries and shows significant periods of delay between the onset of symptoms to diagnosis and treatment. The longest period of delay was in the health practitioner interval. Education regarding the significance of lymphadenopathy for both patients and health care practitioners and appropriate investigative steps preferably by best-practice algorithms specific to TB-endemic areas are needed to shorten the time-to-diagnosis of lymphoma.

Indexed as

AdolescentAdultAgedAged, 80 and overBiopsy, Fine-NeedleDelayed DiagnosisDelivery of Health CareFemaleHIVHIV InfectionsHumansLymphadenopathyLymphomaMaleMiddle AgedPatient Acceptance of Health CareDiagnosisFNAC (fine-needle aspiration)HIVLymphomaTuberculosis

Identifiers

PMID31023278
PMCPMC6485177
OpenAlexW2947051331

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.