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Checkpoint inhibitors modestly increased fatigue versus placebo in neoadjuvant and adjuvant settings

Supportive care in cancer (PubMed)Aug 5, 2026

AI-summarized from the linked source. Educational brief, not medical advice.

Brief summary

A systematic review of 43 studies found modestly more cancer-related fatigue with neoadjuvant or adjuvant immune checkpoint inhibitor therapy than with placebo, based on both clinician reports and patient-reported outcomes.

What NurseJet pulled from the source

Across trials and prospective cohorts involving several cancer types and checkpoint inhibitors, fatigue was more frequent with immunotherapy than placebo, with a pooled risk ratio of 1.21. Patient-reported fatigue was also slightly higher, while comparison with chemotherapy was imprecise and not statistically significant; risk of bias was high in part because of open-label designs and allocation concerns.

Why this matters for nurses

Oncology nurses routinely assess fatigue, function, sleep, nutrition, mood, and treatment effects during neoadjuvant and adjuvant therapy. Recognizing fatigue as a measurable treatment-related symptom supports earlier evaluation without assuming that every change is expected or benign.

Bedside takeaway

Trend fatigue during checkpoint-inhibitor therapy and evaluate meaningful change instead of labeling it an unavoidable treatment effect.

How This Applies in Practice

Use this when: Assessing a patient receiving neoadjuvant or adjuvant immune checkpoint inhibitor therapy who reports new or worsening fatigue.

On your shift

  • Measure and trend fatigue with the approved assessment while documenting function, sleep, mood, intake, activity, and the timing relative to treatment.
  • Screen for accompanying findings required by the oncology pathway, including possible endocrine toxicity, anemia, infection, dehydration, or disease-related causes.
  • Escalate clinically meaningful change and reinforce the approved symptom-reporting and follow-up plan with the patient and caregiver.
Keep in mind: Fatigue has multiple possible causes and the review does not define one management pathway. Follow the oncology protocol, facility policy, and provider orders.

Key takeaways

  • The review included 43 prospective cohorts and phase 2 or later trials in neoadjuvant or adjuvant treatment settings.
  • Fatigue was more frequent with immune checkpoint inhibitors than placebo, with a risk ratio of 1.21 and a 95% confidence interval from 1.08 to 1.35.
  • Patient-reported outcomes showed a small increase in fatigue, with a standardized mean difference of 0.12.
  • The chemotherapy comparison was inconclusive, and study-level bias limits confidence about the magnitude and course of fatigue.

Practice implications

  • Assess fatigue with the approved tool and trend its onset, severity, function, sleep, mood, nutrition, and accompanying symptoms across treatment cycles. Escalate new or worsening fatigue for evaluation of treatment toxicity, endocrine effects, anemia, infection, or other causes according to the oncology pathway.

Limitations & cautions

  • The included studies spanned different cancers, agents, treatment settings, and fatigue measures. Risk of bias was high because of allocation concealment and open-label designs, the abstract does not define fatigue severity or trajectory consistently, and the comparison with chemotherapy was imprecise.
  • AI-summarized from the linked source. Review the original article before applying to practice.

Citations

Exact source links

Public citations are filtered to exact credible source pages. Homepage-only or invalid links stay in admin review and are not shown here.

Supportive care in cancer (PubMed)

Supportive care in cancer (PubMed). Cancer-related fatigue during treatment with neoadjuvant and/or adjuvant immune checkpoint inhibitors: a systematic review and meta-analysis.

Open original source

https://pubmed.ncbi.nlm.nih.gov/42554880/

Professional education only

This summary does not replace clinical judgment, facility policy, provider orders, or official guidelines. Verify practice changes against the original source and local protocol.

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