Evidence map›Paper›PMID 36097568›Full record

ArticlemedRxiv : the preprint server for health sciences2022

International Multicenter Study Comparing Cancer to Non-Cancer Patients with COVID-19: Impact of Risk Factors and Treatment Modalities on Survivorship.

Issam Raad, Ray Hachem, Nigo Masayuki, Tarcila Datoguia, Hiba Dagher, Ying Jiang, Vivek Subbiah, Bilal Siddiqui, Arnaud Bayle, Robert Somer and 42 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

52 authors at 14 institutions in 9 countries.

Issam Raad
Ray Hachem
Nigo Masayuki
Tarcila Datoguia
Hiba Dagher
Ying Jiang
Bilal Siddiqui
Arnaud Bayle
Robert Somer
Ana Fernández Cruz
Edward Gorak
Arvinder Bhinder
Nobuyoshi Mori
Nelson Hamerschlak
Samuel Shelanski
Tomislav Dragivich
Yee Elise Vong Kiat
Suha Fakhreddine
Pierre Abi Hanna
Roy F Chemaly
Victor Mulanovich
Javier Adachi
Jovan Borjan
Fareed Khawaja
Bruno Granwehr
Teny John
Eduardo Yepez Guevara
Harrys Torres
Natraj Reddy Ammakkanavar
Marcel Yibirin
Cielito C Reyes-Gibby
Mala Pande
Noman Ali
Raniv Dawey Rojo
Shahnoor M Ali
Rita E Deeba
Patrick Chaftari
Takahiro Matsuo
Kazuhiro Ishikawa
Ryo Hasegawa
Ramón Aguado-Noya
Álvaro García-García
Cristina Traseira Puchol
Dong-Gun Lee
Monica Slavin
Cesar A Arias
Data-Driven Determinants for COVID-19 Oncology Discovery Effort (D3CODE) Team
Dimitrios P Kontoyiannis
Alexandre E Malek
Anne-Marie ChaftariORCID 0000-0001-8097-8452
The University of Texas MD Anderson Cancer Center · USHospital Universitario Puerta de Hierro Majadahonda · ESSt. Luke's International Hospital · JPHospital Israelita Albert Einstein · BRPeter MacCallum Cancer Centre · AURafik Hariri University Hospital · LBThe University of Texas Health Science Center at Houston · USBanner MD Anderson Cancer Center at Banner North Colorado Medical CenterCatholic University of Korea · KRCommunity Health Network · USCooper Medical School of Rowan University · USOhioHealth · USTan Tock Seng Hospital · SGUniversité Paris-Saclay · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In this international multicenter study we aimed to determine the independent risk factors associated with increased 30-day mortality and the impact of novel treatment modalities in a large group of cancer and non-cancer patients with COVID-19 from multiple countries. Methods: We retrospectively collected de-identified data on a cohort of cancer and non-cancer patients diagnosed with COVID-19 between January and November 2020, from 16 international centers. Results: We analyzed 3966 COVID-19 confirmed patients, 1115 cancer and 2851 non-cancer patients. Cancer patients were more likely to be pancytopenic, and have a smoking history, pulmonary disorders, hypertension, diabetes mellitus, and corticosteroid use in the preceding two weeks (p≤0.01). In addition, they were more likely to present with higher inflammatory biomarkers (D-dimer, ferritin and procalcitonin), but were less likely to present with clinical symptoms (p≤0.01). By multivariable logistic regression analysis, cancer was an independent risk factor for 30-day mortality (OR 1.46; 95% CI 1.03 to 2.07; p=0.035). Older age (≥65 years) was the strongest predictor of 30-day mortality in all patients (OR 4.55; 95% CI 3.34 to6.20; p< 0.0001). Remdesivir was the only therapeutic agent independently associated with decreased 30-day mortality (OR 0.58; CI 0.39-0.88; p=0.009). Among patients on low-flow oxygen at admission, patients who received remdesivir had a lower 30-day mortality rate than those who did not (5.9% vs 17.6%; p=0.03). Conclusions: Cancer is an independent risk factor for increased 30-day all-cause mortality from COVID-19. Remdesivir, particularly in patients receiving low-flow oxygen, can reduce 30-day all-cause mortality. Condensed Abstract: In this large multicenter worldwide study of 4015 patients with COVID-19 that included 1115 patients with cancer, we found that cancer is an independent risk factor for increased 30-day all-cause mortality. Remdesivir is a promising treatment modality to reduce 30-day all-cause mortality.

Identifiers

PMID36097568
PMCPMC9465833
OpenAlexW4293530770

What OpenQuestion holds

Textmetadata
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.