Evidence map›Paper›PMID 41117526›Full record

ArticleCancer medicine2025

The Invisible Costs of Cancer Treatment: Quantifying Non-Medical Economic Consequences for Cancer Survivors Undergoing Systemic and Radiation Therapies.

Md Shahjalal, Padam Kanta Dahal, Md Parvez Mosharaf, Yifu Chen, Mohoua Azmary, Edward Christopher Dee, Khorshed Alam, Rashidul Alam Mahumud

Abstract read
In one paragraph

Article in Cancer medicine, 2025. 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. 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

8 authors.

Md ShahjalalDepartment of Public Health, North South University, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0002-2218-8433
Padam Kanta DahalSchool of Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, New South Wales, Australia.
Md Parvez MosharafSchool of Business, Faculty of Business, Education, Law and Arts, University of Southern Queensland, Toowoomba, Queensland, Australia.
Yifu ChenSchool of Public Health, Faculty of Medicine and Health, The University of Sydney, Camperdown, New South Wales, Australia.
Mohoua AzmarySchool of Public Health, Faculty of Health and Education, Torrens University, Surry Hills, New South Wales, Australia.
Edward Christopher DeeDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID https://orcid.org/0000-0001-6119-0889
Khorshed AlamSchool of Business, Faculty of Business, Education, Law and Arts, University of Southern Queensland, Toowoomba, Queensland, Australia.
Rashidul Alam MahumudSchool of Business, Faculty of Business, Education, Law and Arts, University of Southern Queensland, Toowoomba, Queensland, Australia.ORCID https://orcid.org/0000-0001-9788-1868

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

backgroundThe non-medical economic consequences of cancer on individuals and families in low- and middle-income countries, including Bangladesh, remain poorly quantified. This study measures the non-medical economic consequences of cancer survivors and their families, including sacrifices in essential family consumption, social participation and family members' schooling.

methodsWe conducted a cross-sectional survey between January and May 2022, involving 607 adult patients receiving cancer treatment at two tertiary specialised cancer hospitals in Bangladesh. Participants reported any occurrence of non-medical economic consequences: reduction in essential goods (REG) consumption, avoidance of social events (ASE) and cessation of schooling (CS) of family members. We used a multivariable logistic regression model to assess the associations between each non-medical economic consequence and clinical and socioeconomic factors. Additionally, we fitted a Poisson regression to model the count of non-medical economic consequence events as a function of disease stage and relevant covariates.

resultsOverall, 39% of patients reported REG, 36% ASE, and 38% CS. After adjusting for co-variates, advanced cancer (stage IV) was a significant predictor of non-medical economic consequence (REG: OR = 5.58, 95% CI 0.99-31.44, p = 0.051; ASE: 11.35, 1.81-71.07, p = 0.009; SS: 101.56, 2.47-4173.90, p = 0.015) compared with early cancer (stage I). Compared with the highest-income families, patients from low- and lower-middle-income families had significantly higher odds of experiencing all outcomes (REG: OR = 7.57, 3.01-19.06, p < 0.001 and 7.23, 1.81-28.89, p = 0.005; ASE: 10.21, 3.81-27.36, p < 0.001 and 17.99, 4.26-75.96, p < 0.001; CS: 11.37, 3.23-40.00, p < 0.001 and 12.58, 1.90-83.19, p = 0.009). Employed patients were also at markedly higher risk, with substantially increased odds of REG (18.27 times), ASE (41.01 times) and CS (72.34 times) compared with non-employed patients (all p < 0.01).

conclusionCancer treatment in Bangladesh imposes substantial and inequitable non-medical economic consequences, disproportionately affecting patients with advanced-stage cancer, lower-income families and those in active employment. Policymakers may prioritise strengthening early cancer detection programs, expanding targeted financial protection schemes and introducing workplace and educational support mechanisms to safeguard family welfare and promote more equitable outcomes during cancer treatment.

Indexed as

Cancer SurvivorsCost of IllnessNeoplasmsAdultAgedBangladeshCross-Sectional StudiesFemaleHumansMaleMiddle AgedSocioeconomic Factorscancer survivorsnecessitiesnon‐medical economic consequencesschooling disruptionsocial participationsystemic and radiation therapy

Identifiers

PMID41117526
PMCPMC12538818

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.