Evidence map›Paper›PMID 33293858›Full record

ArticleCancer management and research2020

Thirty-Day Mortality After Curative and Palliative Anti-Cancer Treatment: Data Interpretation and Lessons for Clinical Implementation.

Emad Tashkandi, Bassam Basulaiman, Waleed Alghareeb, Faris Hamadi, Anas Alghamdi, Faez Albabakri, Redhwan Alshabi, Mohammad Jaffal, Abdulrahman Albaradie, Ruqayya Azher

Abstract read
In one paragraph

Article in Cancer management and research, 2020. 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.

  1. Potentially preventable unplanned hospitalizations due to adverse events in patients receiving systemic anticancer therapy: a retrospective single-center study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    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.

Emad TashkandiUmm AlQura University, College of Medicine, Makkah, Saudi Arabia.ORCID 0000-0002-0260-8947
Bassam BasulaimanComprehensive Cancer Center, Medical Oncology, King Fahad Medical City, Riyadh, Saudi Arabia.ORCID 0000-0002-0088-6038
Waleed AlghareebComprehensive Cancer Center, Medical Oncology, King Fahad Medical City, Riyadh, Saudi Arabia.
Faris HamadiComprehensive Cancer Center, Medical Oncology, King Fahad Medical City, Riyadh, Saudi Arabia.ORCID 0000-0003-1059-2719
Anas AlghamdiComprehensive Cancer Center, Medical Oncology, King Fahad Medical City, Riyadh, Saudi Arabia.
Faez AlbabakriKing Abdullah Medical City, Oncology Center, Makkah, Saudi Arabia.ORCID 0000-0002-2654-2882
Redhwan AlshabiKing Abdullah Medical City, Oncology Center, Makkah, Saudi Arabia.
Mohammad JaffalKing Abdullah Medical City, Oncology Center, Makkah, Saudi Arabia.
Abdulrahman AlbaradieKing Abdullah Medical City, Oncology Center, Makkah, Saudi Arabia.
Ruqayya AzherUmm Al-Qura University, Community Medicine Department, Makkah, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDespite advancements in cancer therapeutics, mortality and morbidity due to anti-cancer treatments still occur but are not frequently reported. We aimed to report the 30-day mortality and morbidity of all curative and palliative anti-cancer treatments. PATIENTS AND

methodsAdults with solid and hematological malignancies from two large cancer centers in Saudi Arabia, irrespective of the cancer stage and treatment type, were included in this retrospective observational study.

resultsBetween December 1, 2019 and February 29, 2020, 1694 patients from King Abdullah Medical City in Makkah and King Fahad Medical City in Riyadh were included in the study. Among them, 77.5% were younger than 65 years of age; 72.8% were female; the prevalence of obesity, diabetes, and hypertension was 35%, 34%, and 28%, respectively; and 66.5% of patients had breast and gastrointestinal cancers. Fifty-nine (3.5%) patients died within 30 days of receiving anti-cancer treatment. Of them, 9 (0.3%) were treated with curative intent, and 50 (3%) were treated with palliative intent.

conclusionOur results emphasize the need to address preventable metabolic changes and implement innovative, predictive, preventive, and personalized medicine (PPPM) approaches focusing on patient profiles. Reporting the 30-day outcomes of all anti-cancer treatments will also allow the identification of factors underlying mortality and morbidity and lead to an improvement in oncological outcomes via innovative programs designed to improve clinical decision-making.

Indexed as

cancerchemotherapyindividual outcomemorbiditypredictive preventive personalized medicine

Identifiers

PMID33293858
PMCPMC7718861

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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.