Evidence map›Paper›PMID 36399974›Full record

ArticleCurrent problems in cancer2022

Diagnosis and Management of Classical Hodgkin Lymphoma During the COVID-19 Pandemic.

Selin Küçükyurt, Kübra Şahin, Umut Yılmaz, Abdülkadir Erçalışkan, Tuba Özkan Tekin, Damla Ortaboz, Tuğrul Elverdi, Ayşe Salihoğlu, Muhlis Cem Ar, Şeniz Öngören and 2 more

Abstract read
In one paragraph

Article in Current problems in cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

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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.

Selin KüçükyurtDivision of Hematology, Department of Internal Medicine, Cerrahpaşa Faculty of Medicine, Istanbul University-Cerrahpaşa, Istanbul, Turkey.
Kübra ŞahinCerrahpaşa Faculty of Medicine, Istanbul University-Cerrahpaşa, Istanbul, Turkey.
Umut YılmazDivision of Hematology, Department of Internal Medicine, Cerrahpaşa Faculty of Medicine, Istanbul University-Cerrahpaşa, Istanbul, Turkey.
Abdülkadir ErçalışkanDivision of Hematology, Department of Internal Medicine, Cerrahpaşa Faculty of Medicine, Istanbul University-Cerrahpaşa, Istanbul, Turkey.
Tuba Özkan TekinDivision of Hematology, Department of Internal Medicine, Cerrahpaşa Faculty of Medicine, Istanbul University-Cerrahpaşa, Istanbul, Turkey.
Damla OrtabozDivision of Hematology, Department of Internal Medicine, Cerrahpaşa Faculty of Medicine, Istanbul University-Cerrahpaşa, Istanbul, Turkey.
Tuğrul ElverdiDivision of Hematology, Department of Internal Medicine, Cerrahpaşa Faculty of Medicine, Istanbul University-Cerrahpaşa, Istanbul, Turkey.
Ayşe SalihoğluDivision of Hematology, Department of Internal Medicine, Cerrahpaşa Faculty of Medicine, Istanbul University-Cerrahpaşa, Istanbul, Turkey.
Muhlis Cem ArDivision of Hematology, Department of Internal Medicine, Cerrahpaşa Faculty of Medicine, Istanbul University-Cerrahpaşa, Istanbul, Turkey.
Şeniz ÖngörenDivision of Hematology, Department of Internal Medicine, Cerrahpaşa Faculty of Medicine, Istanbul University-Cerrahpaşa, Istanbul, Turkey.
Zafer BaşlarDivision of Hematology, Department of Internal Medicine, Cerrahpaşa Faculty of Medicine, Istanbul University-Cerrahpaşa, Istanbul, Turkey.
Ahmet Emre EşkazanDivision of Hematology, Department of Internal Medicine, Cerrahpaşa Faculty of Medicine, Istanbul University-Cerrahpaşa, Istanbul, Turkey. Electronic address: emre.eskazan@iuc.edu.tr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) pandemic has brought life to a standstill globally. Intermittent quarantines were applied to control the pandemic and reduce contamination. During the pandemic, patients with hematological malignancies were among the most vulnerable population. Our aim was to compare in terms of demographic data, disease-related factors, symptom-to-diagnosis interval, diagnosis-to-treatment interval , and interim and end-of-treatment response in classical Hodgkin lymphoma patients diagnosed during the pandemic and in the pre-pandemic periods. A total of 90 patients were included, of which 65 and 25 were diagnosed in the 2 years before the pandemic and the 12-month period during the pandemic, respectively. Demographic features were comparable in both groups. Although the percentage of patients with advanced-stage disease was higher during the pandemic (64% vs 53.8%), this difference did not reach statistical significance (P = 0.384). The median symptom-to-diagnosis interval was significantly longer during the pandemic than was observed within the pre-pandemic era (16 weeks vs 8 weeks, P = 0.042). The median diagnosis-to-treatment intervals was similar in both groups (13 days vs 15 days, P = 0.253). In the pre-pandemic and pandemic periods, 85.2% and 72.7% of the patients had complete response at end-of-treatment evaluation, respectively (P = 0.208). We found that symptom-to-diagnosis interval was significantly prolonged during the pandemic. Higher percentage of patients with advanced-stage disease during the pandemic might also be due to this delay, nevertheless, this difference did not reach to a significant difference regarding treatment response in both groups.

Indexed as

COVID-19Hodgkin DiseaseHumansPandemicsCOVID-19Diagnosis-to-treatment intervalDiagnostic delayHodgkin lymphomaManagementSARS-CoV-2Symptom-to-diagnosis interval

Identifiers

PMID36399974
PMCPMC9554335

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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.