| Literature DB >> 32547222 |
Youqi Yang1, Chunying Shen1, Chaosu Hu1.
Abstract
INTRODUCTION: 2019 novel coronavirus disease (COVID-19) outbreaks have been occurring in China and other countries in the world. To prevent further spread of the disease, restrictions of population flow from the government and measures to reduce virus transmission from hospitals may lead to the delay of diagnosis and treatment in patients with nasopharyngeal carcinoma (NPC).Entities:
Keywords: COVID-19; nasopharyngeal carcinoma; radiotherapy
Year: 2020 PMID: 32547222 PMCID: PMC7260542 DOI: 10.2147/CMAR.S254093
Source DB: PubMed Journal: Cancer Manag Res ISSN: 1179-1322 Impact factor: 3.989
Figure 1Flow chart of NPC patients eligible for radiotherapy. Group A: patients entered diagnosis and treatment path of NPC from December 27, 2019 to January 23, 2020 (n=112). Group B: patients entered diagnosis and treatment path of NPC from January 31, 2020 to February 26 (n=82).
Waiting Interval for Different Stages of Diagnosis and Treatment Path
| Waiting Interval in Days | Group A | Group B | |
|---|---|---|---|
| Pathological consultation report | 3(2–20) | 2(1–3) | 0.111 |
| Pathological reports from biopsies | 5(1–6) | 15 (5–18) | 0.012 |
| Imaging examination appointment | 8(6–12) | 1(0–1) | <0.001 |
| Radiotherapy immobilization and simulation | 3.5(0–19) | 16.5(0–47) | <0.001 |
| Radiotherapy validation of position and plan | 20(6–33) | 61(43–81) | <0.001 |
| Initiation of radiotherapy | 28(1–34) | 36(16–106) | 0.005 |
Variation of Diagnosis and Treatment Path of NPC Under the Controlling Measure of the COVID-19
| Variation of Events | Group A | Group B | |
|---|---|---|---|
| Additional chemotherapy received | 2 (5.9) | 11 (32.4) | 0.006 |
| Concurrent chemotherapy reduced | 8 (15.4) | 6 (25.0) | 0.315 |
Abbreviation: NPC, nasopharyngeal carcinoma.
Baseline Characteristics of Patients Enrolled Before (Group A) and After (Group B) Control Strategy of COVID-19 Epidemic
| Characteristic | Group A | Group B | |
|---|---|---|---|
| Gender n (%) | 0.774 | ||
| Male | 84(75.0) | 60(73.2) | |
| Female | 28(25.0) | 22(26.8) | |
| Age(years) | 0.606 | ||
| Median(range) | 50.5(18–77) | 50.5(18–71) | |
| Stage n(%) | 0.821 | ||
| I | 5(4.5) | 4(4.9) | |
| II | 10(8.9) | 5(6.1) | |
| III | 42(37.5) | 35(42.7) | |
| IVa | 41(36.6) | 31(37.8) | |
| IVb | 14(12.5) | 7(8.5) | |
| Chemotherapy received n(%) | 100(89.3) | 74(90.2) | 0.828 |
| Karnofsky performance status n(%) | 0.446 | ||
| 70 | 2(1.8) | 0(0) | |
| 80 | 3(2.7) | 3(3.7) | |
| 90 | 107(95.5) | 79(96.3) | |
| Comorbidities n(%) | 32(28.6) | 23(28.0) | 0.936 |
| Patients from other cities n(%) | 75(67.0) | 52(63.4) | 0.608 |
Abbreviation: COVID-19, 2019 novel coronavirus disease.