Evidence map›Paper›PMID 34262803›Full record

ArticleCureus2021

Clinical Presentations and Outcomes of Coronavirus Disease 2019 in Patients With Solid Tumors.

Imran Farooque, Umar Farooque, Sundas Karimi, Muhammad Usman Shah Syed, Zubia Nadeem, Arif Zulfiqar, Sufyan Mustafa, Rizwan Farooque, Ayyaz A Sultan, Syed Adeel Hassan

Abstract read
In one paragraph

Article in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Euthyroid Sick Syndrome as a Prognostic Indicator of COVID-19 Pulmonary Involvement, Associated With Poorer Disease Prognosis and Increased Mortality.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2022
    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

10 authors.

Imran FarooquePublic Health, Peoples University of Medical and Health Sciences for Women, Nawabshah, PAK.
Umar FarooqueNeurology, Dow University of Health Sciences, Karachi, PAK.
Sundas KarimiOrthopedic Surgery, Dow University Hospital, Karachi, PAK.
Muhammad Usman Shah SyedInternal Medicine, Dow University of Health Sciences, Karachi, PAK.
Zubia NadeemMedicine, Dow University of Health Sciences, Karachi, PAK.
Arif ZulfiqarMedicine and Surgery, Dow Medical College, Karachi, PAK.
Sufyan MustafaMedicine, Dow Medical College, Civil Hospital, Karachi, PAK.
Rizwan FarooqueInternal Medicine, Sindh Medical College, Karachi, PAK.
Ayyaz A SultanHematology/Oncology, California Cancer Associates for Research & Excellence, Fresno, USA.
Syed Adeel HassanInternal Medicine, University of Louisville, Louisville, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Coronavirus disease 2019 (COVID-19) is a global health crisis. The literature suggests that cancer patients are more prone to be affected by COVID-19 because cancer suppresses the immune system and such patients usually present poor results. The objective of this study is to present all clinical, laboratory, and demographic characteristics of COVID-19 patients with solid tumors. Methodology This study was conducted at the Dow University of Health Sciences for a period of six months from April 2020 to September 2020. In this study, we included a total of 1,519 confirmed patients diagnosed with solid tumors via polymerase chain reaction. The mortality timeline within 30 days of contracting the virus was considered, and the median age of the included individuals was 61 years, with a range of 20-95 years. Of the patients included in the study, 49.4% (750) were men; moreover, 3.15% of our study population had prostate cancer, 10.20% had colorectal cancer, 2.76% had breast cancer, and 10.46% had lung cancer. Of the patients, 25.93% presented with at least one comorbidity. For 73% of the patients, at least one direct therapy for COVID-19 was included in the treatment; 56.6% of the patients were hospitalized, and 11.32% were admitted to the intensive care unit. Results The mortality rate was 4.74% in the first 30 days after diagnosis, where 72 patients died. The findings of the first multi-variation model showed that males at older ages who were diabetic and going through cytotoxic therapy were prone to die within the first 30 days. However, the 30-day mortality rate was lower in patients diagnosed with prostate and breast cancer. The second set incorporated laboratory factors, where we found that higher values of leukocytosis, thrombocytopenia, and lymphocytopenia were correlated with higher rates of mortality within 30 days. Conclusions We conclude that there is a higher mortality rate of COVID-19 in patients with solid tumors than in the general population. However, it was found to be lower in the Pakistani population compared with the Chinese and Western populations. Intensive care can decrease mortality rates in COVID-19 and cancer patients.

Indexed as

breast cancerclinical presentationcolorectal cancercovid-19lung cancermortalityoutcomespandemicprostate cancersolid tumor

Identifiers

PMID34262803
PMCPMC8260216

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Registered trials

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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.