Concept
Oncology Outcomes
4 studies1 discovery
Oncology outcomes research tracks survival, treatment effects, and care quality for people with cancer.
Students meet cancer epidemiology and outcomes early; this cluster keeps claims tied to measured endpoints.
Studies
4
Findings
5
7 supporting · 0 challenging · 0 qualifying citations
Open tensions
1
Currently
What we know
- Multiple studies in this library examine oncology outcomes with empirical patient or population outcomes rather than opinion alone.
- High-grade tumors had higher ANXA1 odds (OR adj 1.59); ANXA1 linked to basal-like/TN features; HER2+ ANXA1-overexpressing cases had worse 10-year BCSS (HR adj 1.70).
- An overall negative SES–survival gradient was present. Stage contribution was inconsistent, smoking was important, and after adjusting for stage and smoking the education and income differences became non-significant.
- Among 1670 patients analysed by intention to treat (841 propofol, 829 sevoflurane), five-year survival was about 92% in both arms, with a hazard ratio near 1 and no statistically significant difference. Results were similar after per-protocol analysis and adjustment for uneven triple-negative receptor status.
- All unmarried groups had excess mortality vs married; for men, never-married excess mortality rose ~3.4 percentage points per decade, mainly among those diagnosed after age 70.
Largest unresolved question
Effect sizes and settings differ across oncology outcomes studies — digital vs clinic, trial vs observational — so results should not be pooled casually.
Common misconceptions
Oncology Outcomes findings always generalise to every clinic.
These studies are context-bound; designs, populations, and endpoints limit transfer.
Related
Claim ledger
What the evidence shows
Drawn from 4 studies in this library. Mix labels say which citation roles are present; they are not a strength score. Supports means evidence for a finding; Challenges means evidence against a stated position; Qualifies marks scope.
Multiple studies in this library examine oncology outcomes with empirical patient or population outcomes rather than opinion alone.
- ANXA1 in breast cancer prognosis
- Does socioeconomic status change cancer survival?
- Propofol vs sevoflurane and breast cancer survival
Study Role Design N Population Outcome ANXA1 in breast cancer prognosis Supports CohortPooled BCAC tumour series plus familial BRCA cases; ANXA1 IHC associations N=5752 · BCAC patients in primary analyses; plus familial BRCA cases in secondary analyses Women with breast cancer in pooled BCAC cohorts (mostly non-BRCA carriers) ANXA1 associations with tumour subtype markers and breast-cancer-specific survival Does socioeconomic status change cancer survival? Supports CohortNOWAC; education and household income vs cancer survival with stage and smoking adjustment N=3849 · 3,849 incident invasive cancers with SES data from a 91,814-woman study population Norwegian women with incident primary invasive cancer in NOWAC Cancer survival by education and household income Propofol vs sevoflurane and breast cancer survival Supports RCT1:1 propofol vs sevoflurane for anaesthesia maintenance in curative primary breast cancer surgery N=1670 · ITT: 841 propofol, 829 sevoflurane Patients undergoing curative primary breast cancer surgery 5-year overall survival High-grade tumors had higher ANXA1 odds (OR adj 1.59); ANXA1 linked to basal-like/TN features; HER2+ ANXA1-overexpressing cases had worse 10-year BCSS (HR adj 1.70).
An overall negative SES–survival gradient was present. Stage contribution was inconsistent, smoking was important, and after adjusting for stage and smoking the education and income differences became non-significant.
Among 1670 patients analysed by intention to treat (841 propofol, 829 sevoflurane), five-year survival was about 92% in both arms, with a hazard ratio near 1 and no statistically significant difference. Results were similar after per-protocol analysis and adjustment for uneven triple-negative receptor status.
All unmarried groups had excess mortality vs married; for men, never-married excess mortality rose ~3.4 percentage points per decade, mainly among those diagnosed after age 70.
Debates
Tensions and limits
Some items are genuine disagreements on the same question. Others mark different assays, populations, or outcomes.
Effect sizes and settings differ across oncology outcomes studies — digital vs clinic, trial vs observational — so results should not be pooled casually.
Effect sizes and settings differ across oncology outcomes studies — digital vs clinic, trial vs observational — so results should not be pooled casually.
- ANXA1 in breast cancer prognosis
- Does socioeconomic status change cancer survival?
- Propofol vs sevoflurane and breast cancer survival
Study Role Design N Population Outcome ANXA1 in breast cancer prognosis Supports CohortPooled BCAC tumour series plus familial BRCA cases; ANXA1 IHC associations N=5752 · BCAC patients in primary analyses; plus familial BRCA cases in secondary analyses Women with breast cancer in pooled BCAC cohorts (mostly non-BRCA carriers) ANXA1 associations with tumour subtype markers and breast-cancer-specific survival Does socioeconomic status change cancer survival? Supports CohortNOWAC; education and household income vs cancer survival with stage and smoking adjustment N=3849 · 3,849 incident invasive cancers with SES data from a 91,814-woman study population Norwegian women with incident primary invasive cancer in NOWAC Cancer survival by education and household income Propofol vs sevoflurane and breast cancer survival Supports RCT1:1 propofol vs sevoflurane for anaesthesia maintenance in curative primary breast cancer surgery N=1670 · ITT: 841 propofol, 829 sevoflurane Patients undergoing curative primary breast cancer surgery 5-year overall survival
PaperFren reads this as a limit on how far one study travels — different assays, populations, or outcomes — not a forced fight between papers.
Timeline
How understanding moved
Study years are when the paper was published. Evidence edits are dated changes to this page's claims. Explanations are when PaperFren added a Discovery — not a claim that the science happened that day.
2026
Concept page published
Oncology Outcomes
- In ovarian cancer, the clone that came back was already present before chemotherapy
Change log
What changed
Dated edits to this page's evidence: studies added or removed from a claim, claims added or withdrawn, and new explanations tagged here. Coverage edits are distinct from reviewed research changes and corrections. Dates record PaperFren updates; study publication dates appear in the timeline.
- In ovarian cancer, the clone that came back was already present before chemotherapyEvidence: Preliminary
- Coverage updated · Concept page published
Papers
4 studies in this library bear on Oncology Outcomes, ordered by citations.
- Marital status and cancer survival trends
Among Norwegian cancer patients, never-married people—especially older men—showed growing excess mortality versus married peers over decades.
- ANXA1 in breast cancer prognosis
ANXA1-positive breast tumors clustered with poor-prognosis features (high grade, basal/TN, BRCA1/2) and worse outcomes in some high-risk subgroups such as HER2+.
- Does socioeconomic status change cancer survival?
In Norwegian women, lower education and income predicted worse cancer survival until stage and smoking were accounted for.
- Propofol vs sevoflurane and breast cancer survival
In the CAN randomised trial, five-year overall survival after primary breast cancer surgery was essentially the same with propofol or sevoflurane maintenance anaesthesia.
Compare studies
Select 2–10 studies. Design and N are labels, not a ranking.
Nothing selected yet.
Questions
What is still open
Effect sizes and settings differ across oncology outcomes studies — digital vs clinic, trial vs observational — so results should not be pooled casually.
Ask PaperFren about Oncology Outcomes
Study this conceptflashcards and short-answer questions
What is Oncology Outcomes and why do health students study it?
Oncology outcomes research tracks survival, treatment effects, and care quality for people with cancer. Students meet cancer epidemiology and outcomes early; this cluster keeps claims tied to measured endpoints.
Name one limit of the evidence base for Oncology Outcomes in this library.
Single-setting trials, observational designs, or digital-only samples limit causal and external claims.