Evidence map›Paper›PMID 39631998›Full record

SynthesisThe American journal of clinical nutrition2024

Effects of high-protein supplementation during cancer therapy: a systematic review and meta-analysis.

Camila E Orsso, Anne Caretero, Taiara Scopel Poltronieri, Jann Arends, Marian Ae de van der Schueren, Nicole Kiss, Alessandro Laviano, Carla M Prado

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in The American journal of clinical nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 pooled it
–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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Roles undertaken by family caregivers to help individuals with cancer manage symptoms: a qualitative study of caregivers, patients, and oncology clinicians.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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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.

Camila E OrssoHuman Nutrition Research Unit, Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada.
Anne CareteroHuman Nutrition Research Unit, Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada.
Taiara Scopel PoltronieriHuman Nutrition Research Unit, Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada; Faculty of Medicine, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.
Jann ArendsDepartment of Medicine I, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany.
Marian Ae de van der SchuerenDepartment of Nutrition, Dietetics and Lifestyle, School of Allied Health, HAN University of Applied Sciences, Nijmegen, The Netherlands; Department of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands.
Nicole KissInstitute for Physical Activity and Nutrition, Deakin University, Geelong, VIC, Australia.
Alessandro LavianoDepartment of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy.
Carla M PradoHuman Nutrition Research Unit, Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada. Electronic address: carla.prado@ualberta.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEstablishing the effectiveness of high-protein supplementation in reducing cancer-related side effects is crucial.

objectiveThe study aimed to assess the effectiveness and safety of high-protein supplementation on clinical outcomes of patients undergoing cancer therapy.

methodsSystematic searches were conducted on Medline, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Embase, Cochrane Central Register of Controlled Trials, and Scopus from inception until July 2023. Randomized controlled trials administering supplements with ≥10 g protein/serving, given to 20+ adult patients undergoing cancer therapy were included. Random-effects meta-analyses were used to estimate the effects of high-protein supplementation on the primary outcomes of body weight and health-related quality of life (HRQoL). We employed a vote-counting approach based on effect direction for secondary outcomes (that is, body composition, muscle function, hospitalization, response to cancer therapy/toxicity, survival, and systemic inflammation). Risk-of-bias (ROB) was assessed.

resultsThirty-five studies involving 3701 patients with diverse cancer types were included. Patients who received high-protein supplementation lost less body weight than controls (mean difference = 1.45 kg; 95% CI: 0.42, 2.48 kg; P = 0.006; I

conclusionsHigh-protein supplementation mitigates weight loss, improves muscle strength, and lowers hospitalization rates in patients undergoing cancer therapy. These positive clinical outcomes, along with a favorable safety profile, suggest that high-protein supplementation may be a valuable addition to medical practice. However, given the need for more robust trials and the high ROB observed in the existing studies, these conclusions should be interpreted with caution. This review was prospectively registered with PROSPERO under the registration number CRD42021237372.

Indexed as

Dietary SupplementsNeoplasmsQuality of LifeBody WeightDietary ProteinsDiet, High-ProteinHumansRandomized Controlled Trials as TopicDietary Proteinsbody compositionbody weightcancernutrition interventionprotein supplementquality of life

Identifiers

PMID39631998
PMCPMC11619795

What OpenQuestion holds

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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.