Evidence map›Paper›PMID 42050478›Full record

SynthesisBMC cancer2026

Effect of curcumin intervention on radiation-induced injury: a GRADE-based systematic review and meta-analysis.

Litong Zhan, Man Qia, Yin Cha, Xiaofeng Gao

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC 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

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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

4 authors.

Litong ZhanDepartment of Urology, Shanghai Changhai Hospital, Shanghai, China.
Man QiaTaiyuan Central Hospital, Xinghualing District, Taiyuan, Shanxi, China.
Yin ChaTaiyuan Central Hospital, Xinghualing District, Taiyuan, Shanxi, China.
Xiaofeng GaoDepartment of Urology, Shanghai Changhai Hospital, Shanghai, China. gxfdoc@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRadiation-induced injury (RII) is a common condition among patients receiving radiation therapy which affects the quality of life and clinical outcomes in cancer patients. Curcumin has shown promising therapeutic potential in the ameliorating RII through its radioprotective, anti-inflammatory and antioxidant properties. However, the findings across studies remain inconsistent.

methodsA comprehensive systematic search of PubMed, Web of Science, Embase, Cochrane Library, CNKI, Wanfang, and VIP was conducted from inception to 2 July 2025. Risk of bias was assessed using the Cochrane RoB 2.0 tool, and certainty of evidence was evaluated using GRADE approach.

resultsBased on finding, curcumin significantly reduced the incidence of severe RII (RR: 0.58, 95% CI: 0.46, 0.74; P < 0.001), the score of radiation injury severity (SMD: -0.90, 95% CI: -1.25, -0.55; P < 0.001), score of pain using NRS (SMD: -7.56, 95% CI: -9.47, -5.65; P < 0.001) and VAS (SMD: -1.53, 95% CI: -2.52, -0.54; P = 0.002) and weight (SMD: -0.69, 95% CI: -1.25, -0.13; P = 0.015). However, curcumin was not associated with the incidence of overall RII (RR: 0.98, 95% CI: 0.95, 1.01; P = 0.259).

conclusionThe present systematic review and meta-analysis indicated that curcumin may exert promising effects in mitigating RII. It has been shown that patients with RII may benefit from curcumin treatment through reduced incidence of severe RII and score of severity and adverse events. Nevertheless, well-designed studies across multiple populations with rigorous methodologies and optimized dose regimens are warranted to establish firm conclusions.

Indexed as

CurcuminNeoplasmsRadiation InjuriesRadiation-Protective AgentsHumansQuality of LifeRadiotherapyCurcuminRadiation-Protective AgentsCurcuminMeta-analysisRadiation-induced injuryRadiochemotherapy systematic reviewRadiotherapy

Identifiers

PMID42050478
PMCPMC13255367

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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.