Evidence map›Paper›PMID 41511680›Full record

SynthesisSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2026

Innovations for cost-effective and eco-friendly solutions to combat chemotherapy-induced alopecia: a narrative systematic review.

Noor Mastura Mohd Mujar, Muhamad Sharan Musa, Puteri Norliza Megat Ramli

Abstract readSystematic Review
In one paragraph

Synthesis in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Noor Mastura Mohd MujarDepartment of Community Health, Cancer Research and Specialist Centre, Universiti Sains Malaysia, 13200, Kepala Batas, Penang, Malaysia. masturamujar@usm.my.
Muhamad Sharan MusaSchool of Materials and Mineral Resources Engineering, Engineering Campus, Universiti Sains Malaysia, 14300, Nibong Tebal, Penang, Malaysia.
Puteri Norliza Megat RamliNational Cancer Institute, Ministry of Health, 62250, Putrajaya, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemotherapy-induced alopecia (CIA) remains a distressing side effect of cancer treatment, affecting patients' quality of life and psychological well-being. Scalp cooling is a promising intervention to prevent hair loss, yet challenges related to cost, accessibility, and environmental impact limit its widespread adoption. This narrative systematic review analyzed 52 studies published between 2014 and 2024 on innovations in scalp cooling technologies, focusing on cost-effectiveness, sustainability, and accessibility for low-income cancer patients. Findings indicate that gel-based, cryogel, and silicone-based cooling caps offer practical, affordable alternatives to machine-operated systems, while biodegradable and recyclable materials enhance environmental sustainability. Additionally, solar-powered and reusable designs show potential for use in low-resource settings. Overall, evidence suggests that affordable and eco-friendly scalp cooling solutions can significantly improve equity in cancer care by making hair-preserving interventions more accessible and sustainable.

Indexed as

AlopeciaAntineoplastic AgentsNeoplasmsCost-Benefit AnalysisHumansQuality of LifeScalpAntineoplastic AgentsCost effectiveEco-friendlyLow-incomeScalp cooling

Identifiers

PMID41511680
PMCPMC12789183

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.