Evidence map›Paper›PMID 35685763›Full record

ArticleFrontiers in public health2022

Delayed Diagnosis and Treatment of Cancer Patients During the COVID-19 Pandemic in Henan, China: An Interrupted Time Series Analysis.

Changpeng Liu, Heng Piao, Tao Zhang, Dongjian Yang, Xiaoyan Li, Xiance Tang

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Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Changpeng LiuDepartment of Medical Records, Office for DRGs (Diagnosis Related Groups), Henan Cancer Hospital, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China.
Heng PiaoDepartment of Medical Records, Office for DRGs (Diagnosis Related Groups), Henan Cancer Hospital, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China.
Tao ZhangDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, China.
Dongjian YangCenter for Medical Big Data, International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Xiaoyan LiDepartment of Medical Records, Office for DRGs (Diagnosis Related Groups), Henan Cancer Hospital, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China.
Xiance TangDepartment of Medical Records, Office for DRGs (Diagnosis Related Groups), Henan Cancer Hospital, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the possible impact of lockdown policies on the diagnosis and treatment of cancer patients in Henan, China. Design Setting and Participants: We collected data from the Henan Cancer Hospital, affiliated with Zhengzhou University. The monthly numbers of inpatient admissions from January 2014 to December 2019 were used to forecast the number of inpatient admissions in 2020, which was then compared to the actual number of patients admitted during the pandemic to evaluate how the actual number diverges from this forecast. We conducted an interrupted time series analysis using the autoregressive integrated moving average (ARIMA) model. Main Outcomes and Measures: For specific diagnoses, treatment modalities, and age groups, we compared the changes in monthly admissions after the pandemic with the forecasted changes from the model. Results: The observed overall monthly number of inpatient admissions decreased by 20.2% [95% confidence interval (CI), 11.7-27.2%], 78.9% (95% CI, 77.3-80.4%), and 40.9% (95% CI, 35.6-45.5%) in January, February, and March 2020, respectively, as compared with those predicted using the ARIMA model. After the lockdown, visits for all treatment modalities decreased sharply. However, apparent compensation and recovery of the backlog appeared in later surgeries. As a result, the number of patients who underwent surgery in 2020 (30,478) was close to the number forecasted by the ARIMA model (30,185). In the same period, patients who received other treatments or underwent examinations were 106,074 and 36,968, respectively; the respective numbers that were forecasted by ARIMA were 127,775 and 60,025, respectively. These findings depict a decrease of 16.9 and 38.4% in patients who received other treatments or underwent examinations only, respectively. Regarding diagnosis, the reported incidence of various cancers decreased dramatically in February, with varying extent and speed of recovery. Conclusion and Relevance: The COVID-19 pandemic has significantly delayed the diagnosis and treatment of cancer in Henan, China. Long-term research should be conducted to assess the future effects of lockdown policies.

Indexed as

COVID-19NeoplasmsChinaCommunicable Disease ControlDelayed DiagnosisHumansInterrupted Time Series AnalysisModels, StatisticalPandemicsARIMAcancerCOVID-19Henaninterrupted time series

Identifiers

PMID35685763
PMCPMC9171044

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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.