Evidence map›Paper›PMID 37404981›Full record

ArticleAnnals of translational medicine2023

Impact of COVID-19 on cancer services and patients' outcomes: a retrospective single-center study.

Baijaeek Sain, Arnab Gupta, Aruni Ghose, Sudip Halder, Samir Bhattacharya, Radha Raman Mondal, Subhamoy Paul, Chandrakanth Are, Stergios Boussios

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
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

9 authors at 5 institutions in 3 countries.

Baijaeek SainDepartment of Trauma & Orthopaedics, Imperial College London Healthcare NHS Trust, London, UK.
Arnab GuptaDepartment of Surgical Oncology, Saroj Gupta Cancer Centre and Research Institute, Kolkata, India.
Aruni GhoseDepartment of Medical Oncology, Mount Vernon Cancer Centre, East and North Hertfordshire NHS Trust, London, UK.
Sudip HalderDepartment of Surgical Oncology, Saroj Gupta Cancer Centre and Research Institute, Kolkata, India.
Samir BhattacharyaDepartment of Surgical Oncology, Saroj Gupta Cancer Centre and Research Institute, Kolkata, India.
Radha Raman MondalDepartment of Surgical Oncology, Saroj Gupta Cancer Centre and Research Institute, Kolkata, India.
Subhamoy PaulDepartment of Critical Care, Saroj Gupta Cancer Centre and Research Institute, Kolkata, India.
Chandrakanth AreDepartment of Surgical Oncology, University of Nebraska Medical Centre, Omaha, NE, USA.
Stergios BoussiosDepartment of Medical Oncology, Medway NHS Foundation Trust, Gillingham, Kent, UK.
Saroj Gupta Cancer Centre & Research Institute · INEast and North Hertfordshire NHS Trust · GBImperial College London · GBMedway NHS Foundation Trust · GBUniversity of Nebraska Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Our main objective was to assess the impact of the coronavirus disease 2019 (COVID-19) on cancer services and cancer patients in terms of disease severity, morbidity and mortality. Secondary objectives were to characterize cancer type, affected age groups, gender, comorbidities, infectivity, and to identify cancer treatment delay and its complications after COVID-19 infection. Methods: A retrospective analysis of electronic health records of polymerase chain reaction (PCR)-confirmed severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infected cancer patients from April 2020 to March 2021 was done. The following parameters were investigated upon-new and follow-up cases during the pandemic and its preceding years (2018-2019, 2019-2020), age, sex, type of cancer, comorbidities, presentation, symptomatology and treatment for COVID-19, time to recovery, complications, delay in treatment and survival outcome. Statistical analysis using chi-square testing was done on the above variables. Results: There was a 50.49% reduction in the number of new and follow-up cases as compared to that of the previous years. Seventy-four out of 310 (23.87%) COVID-19 positive cancer patients were aged in their sixth decade with the commonest type being hematological malignancies. A proportion of 84.8% (n=263) patients were asymptomatic. Univariate analysis was statistically significant for mortality with regard to age ≥60 years (P=0.034), type of malignancy (P=0.000178), hypertension (P=0.0028), symptomatology of COVID-19 infection (P=0.0016), site of treatment and oxygen/intervention (P<0.0001). There was an average delay in treatment time of 5 to 6 weeks. Multivariate analysis showed that gastrointestinal (GI) and hepato-pancreato-biliary (HPB) malignancies and oxygen requirement (>2 L/min) were responsible for the 20.65% mortality rate. Conclusions: The pandemic significantly affected the care of cancer patients with decreased cases, late presentation, delayed treatment with potentially worse mortality outcome. Although they have decreased immunity, majority were asymptomatic. Most of the fatalities were in the GI and HPB malignancies.

Indexed as

cancercomorbiditiesCoronavirus disease 2019 (COVID-19)morbiditymortality

Identifiers

PMID37404981
PMCPMC10316091
OpenAlexW4382044860

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.