{"doi":"10.1002/cam4.3506","title":"Validation of brief symptom indexes among patients with recurrent or metastatic squamous cell carcinoma of the head and neck: A trial of the ECOG‐ACRIN Cancer Research Group (E1302)","abstract":"BACKGROUND: Patients with advanced head and neck cancer have identified pain, fatigue, and difficulties swallowing, breathing, and communicating as high-priority disease-related symptoms. The Functional Assessment of Cancer Therapy-Head and Neck Symptom Index-10 (FHNSI-10) assesses these symptoms. We sought to validate the FHNSI-10, another brief symptom index (FHNSI-7), and individual symptom endpoints representing these high-rated priority disease symptoms among patients with recurrent or metastatic squamous cell carcinoma of the head and neck (SCCHN). METHODS: Patients (N = 239) were enrolled in a phase III randomized clinical trial (E1302) and completed the FHNSI-10 at multiple time points. We assessed the internal consistencies and test-retest reliabilities of the FHNSI-10 and FHNSI-7 scores, and the known-groups validity, predictive criterion validity, and responsiveness-to-change of the symptom indexes and individual symptom endpoint scores. RESULTS: The FHNSI-10 and FHNSI-7 indexes showed satisfactory internal consistencies (Cronbach's alpha coefficient range 0.60-0.75) and acceptable test-retest reliabilities (intraclass correlation coefficients = 0.75 and 0.74, respectively). The FHNSI-10, FHNSI-7, and the pain, fatigue, swallowing, and breathing symptom scores showed evidence of known-groups validity by performance status at baseline. The FHNSI-10, FHNSI-7, and the pain, fatigue, and breathing symptom scores at baseline showed evidence of predictive criterion validity for overall survival, but not time-to-progression (TTP). Changes in the symptom indexes and individual symptom scores were not associated with changes in performance status over 4 weeks, though most patients had stable performance status. CONCLUSIONS: There is initial evidence of validity for the FHNSI-10 and FHNSI-7 indexes and selected individual symptom endpoints as brief disease-related symptom assessments for patients with recurrent or metastatic SCCHN.","journal":"Cancer Medicine","year":2020,"id":107602,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":6,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9498,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":516734,"name":"Ju‐Whei Lee","orcid":"0000-0003-2068-8511","position":1,"is_corresponding":false},{"id":326688,"name":"Athanassios Argiris","orcid":"0000-0003-4075-8812","position":2,"is_corresponding":false},{"id":83984,"name":"Kimberly Webster","orcid":"0000-0003-1495-1459","position":3,"is_corresponding":false},{"id":515044,"name":"Arlene A. Forastiere","orcid":"0000-0003-2238-3682","position":4,"is_corresponding":false},{"id":232516,"name":"David Cella","orcid":"0000-0002-9881-4541","position":5,"is_corresponding":false},{"id":356063,"name":"Laura B. Oswald","orcid":"0000-0001-6281-2512","position":0,"is_corresponding":true}],"reference_count":25,"raw_metadata":null,"created_at":"2026-07-18T23:12:34.898963Z","pmid":"33040481","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}