Quality of Life After Head and Neck Cancer Surgery and Free Flap Reconstruction: A Systematic Review
Bibliographic record
Abstract
BACKGROUND: Different factors can affect the quality of life of patients treated for head and neck cancer undergoing major surgical intervention. However, it remains unclear which specific factors and what possible interventions could have the greatest influence on quality of life postoperatively for patients undergoing surgical resection with free flap reconstruction. The objective of our systematic review was to identify which factors, at the time of surgical treatment, are associated with a worse postoperative quality of life for patients undergoing surgical resection with free flap reconstruction for head and neck cancer. METHODS: We performed a systematic review of MEDLINE, Embase, CINAHL, Web of Science, and the Cochrane Central Register of Controlled Trials (CENTRAL), from their inception through November 2021. We included peer reviewed studies that evaluated the impact of specific factors on quality of life for adult patients who underwent surgery with free flap reconstruction for head and neck cancer. Two reviewers independently screened citations for eligibility and extracted data. Risk of bias of each study was evaluated using the New-Castle Ottawa Scale. Vote counting and qualitative review were used to synthesize results. All relevant findings were reported. RESULTS: We initially identified 1971 articles. We included 22 articles in our systematic review, totaling 1398 patients. There was a high level of variability for factors evaluated throughout studies and many studies presented small sample sizes. However, some factors were associated with worse long-term quality of life, including older age, radiotherapy, higher tumor stage, dysphagia, anxiety as well as depressive symptoms. Very few articles analyzed their data for specific tumor subsites and the impact of psychosocial factors was rarely evaluated throughout studies. CONCLUSIONS: For patients with head and neck cancer requiring free flap reconstruction, some specific factors may correlate with changes in quality of life. However, these findings are based on very few and mostly underpowered studies. A better understanding of factors affecting quality of life could allow a more personalized and overall better quality of care for patients.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.012 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".