Systematic Review of Comparative Patient Reported Outcomes and Health-Related Quality of Life After Management of Localized Renal Masses or Renal Cell Carcinomas
Bibliographic record
Abstract
Objective: To perform a systematic review assessing the impact of the different management options on health-related quality of life (HRQoL) of patients with localized renal masses or renal cell carcinomas (LRM/LRCC). Materials and Methods: Searches covering PubMed, Embase (Ovid), CENTRAL, PsycINFO (Ovid), CINAHL (EBSCO), and Cochrane Central Register of Controlled Trials (CENTRAL) databases was conducted for papers published up to 25 April 2021. Methods as per Cochrane Handbook were followed. “Modality” of treatment included radical nephrectomy (RN), nephron-sparing surgery (NSS), thermal ablation (TA), and active surveillance (AS). “Approach” was categorized as open incision and minimally invasive surgery (MIS). Risk of bias was assessed by ROBINS-I and Cochrane RoB 2 for observational studies and randomized controlled trials, respectively and certainty of the evidence by GRADE. Results: Sixteen observational studies and 1 randomized controlled trial (2.370 patients) met inclusion criteria. Fifteen different patient reported outcome measures (PROMs) were identified. Heterogeneity prevented quantitative analysis. Generic HRQoL decreases after RN and NSS, recovers within 6 to 12 months, and mostly overlaps with baseline values, irrespective of modality. Cancer-specific HRQoL improve faster after open-NSS than open-RN. The detrimental effect of RN may persist long-term in cross-evaluations. QoL scales significantly decrease after open surgery and MIS during the first weeks but improve faster after MIS. They are similar for both approaches at 1-year. Long-term cancer-specific QoL is similar for MIS and open procedures. Fear of recurrence is lower in older patients and affected by neither modality nor approach. Conclusions: Low quality evidence supports the use of MIS over the open approach when HRQoL is considered in the management of LRMs/LRCCs; data regarding the effect of the treatment modality of the LRM/LRCC show contradictory outcomes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.074 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.015 | 0.011 |
| Bibliometrics | 0.011 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".