ReviewJournal of cosmetic dermatology2017
Chemotherapy-induced alopecia management: Clinical experience and practical advice.
Review in Journal of cosmetic dermatology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
45 citing papers in PubMed, 2 syntheses or guidelines pooled it, 98 citations in OpenAlex.
- Natural Killer Cell-Derived Extracellular Vesicles as a Promising Immunotherapeutic Strategy for Cancer: A Systematic Review.International journal of molecular sciences · 2023Pooled it
- Chinese Herbal Medicine for Reducing Chemotherapy-Associated Side-Effects in Breast Cancer Patients: A Systematic Review and Meta-Analysis.Frontiers in oncology · 2020Pooled it
- Efficacy of scalp cooling system versus chemical cooling cap in preventing chemotherapy-induced alopecia in breast cancer (COHAIR Study): a prospective randomized trial.Breast (Edinburgh, Scotland) · 2026Trial
- Effectiveness of increasing the scalp cooling duration to prevent alopecia during adjuvant chemotherapy for breast cancer: a randomized pilot study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024Trial
- The use of photobiomodulation therapy for the management of chemotherapy-induced alopecia: a randomized, controlled trial (HAIRLASER trial).Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023Trial
- The Chinese herb Xiaoaiping protects against breast cancer chemotherapy-induced alopecia and other side effects: a randomized controlled trial.The Journal of international medical research · 2019Trial
- Primary care approach to alopecia in adult patients.Singapore medical journal · 2026Article
- Modeling Thixotropic Hydrogel Carriers to Limit Healthy-Tissue Exposure via Localized Drug Retention in Chemotherapy.Polymers · 2026Article
- Disruption of microtubules with low intensity ultrasound rescues hair follicle damage by paclitaxel in mouse models.Nature communications · 2026Article
- Chemotherapy-induced alopecia: an exploratory questionnaire-based study from Israel comparing knowledge, attitudes, and management practices among dermatologists and oncologists.Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG · 2026Article
- Chemotherapy-Induced Alopecia Beyond Cytotoxicity: Hair Follicle Immune Privilege Collapse and JAK-STAT Signaling.International journal of molecular sciences · 2026Review
- Mechanism-Based Strategies for Prevention of Taxane-Induced Hair Follicle Damage in Cancer Chemotherapy.Cancers · 2026Review
- Chemotherapy-Induced Alopecia in Breast Cancer Patients: Treatment-Specific Incidence and Risk of Persistent Hair Loss.Cancers · 2026Review
- Efficacy and tolerability of scalp cooling in preventing alopecia during (neo)adjuvant chemotherapy for breast cancer.Pathology oncology research : POR · 2026Article
- Scalp cooling therapy in chemotherapy-induced alopecia: addressing variability in cooling duration and efficacy.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Review
- Aqueous Dispersion of Unmodified Fullerene C60: Stimulation of Hair Growth and Study of a New Molecular Target for Interaction.International journal of molecular sciences · 2025Article
- Alopecia in Children with Cancer: A Review from Pathophysiology to Management.American journal of clinical dermatology · 2025Review
- Signal mining and risk analysis of tisotumab vedotin adverse events based on the FAERS database.Scientific reports · 2025Article
- Cancer-Related Alopecia Risk and Treatment.Current treatment options in oncology · 2025Review
- Treated well but feeling poorly: examining supportive care devices in oncology practice.The oncologist · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundChemotherapy-induced alopecia (CIA) is probably one of the most shocking aspects for oncological patients and underestimated by physicians. Among hair loss risk factors, there are treatment-related aspects such as drug dose, administration regimen, and exposure to X-rays, but also patient-related characteristics. To the best of our knowledge, no guidelines are available about CIA management. AIMS AND
methodsWith this study, based on literature background and our clinical experience, we would like to propose a list of actions in order to estimate the risk of hair loss before starting chemotherapy and to manage this condition before, during, and after drug administration and to create a sort of practical guide for dermatologists and oncologists. RESULTS AND
conclusionThere is an urgent need for prospective studies to clarify the mechanistic basis of alopecia associated with these drugs and consequently to design evidence-based management strategies.
Indexed as
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What OpenQuestion holds
Registered trials
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.