Ecological studyindependent cross-checkabstract checked★ key study I-CHM-106 standard review

Why rising cancer survival rates can mislead

Are increasing 5-year survival rates evidence of success against cancer?

Overview

Welch HG et al.. JAMA 2000 · PMID 10865276 · DOI 10.1001/jama.283.22.2975

Survival gains over time matched rising diagnosis rates, not falling death rates.

Does the study support the specific claim? Partly · Methodological quality: moderate

Original publication

Plain-language summary

Study explained simply
What did the researchers want to find out?

Check whether survival trends reflect real progress

How was the study done?

Analysis of US cancer statistics 1950-1995

How many people, animals or samples were studied?

20 tumour types

What was actually found?

Survival changes tracked diagnosis, not deaths

How large was the observed effect?

r=0.00 with mortality; r=+0.49 with incidence

What do the results mean in everyday life?

Earlier diagnosis can make survival look longer without people living longer

What are the study's limitations?

Ecological, old data

What does it say about Elawady's specific claim?

Partly supports scepticism about survival statistics; does not show early diagnosis shortens life

Do the results apply to Germany and Europe?

Moderate

What can explicitly not be concluded from this study?

Cannot judge any specific treatment

Scientific in-depth review

1. Full reference

Authors
Welch HG et al.
Journal
JAMA
Year
2000
Identifier
PMID 10865276 DOI 10.1001/jama.283.22.2975
Verification
verified – PubMed efetch 2026-10-26 (PublicationType and CommentsCorrections checked); Crossref 2026-10-26
Retracted
no
Corrections
none
Extent checked
abstract only
Conflicts of interest and funding

US government support (non-PHS); COI not stated in abstract.

2. Research question

Do changes in 5-year survival over time track changes in cancer mortality?

3. Study design and population

Study design
Ecological study – Ecological analysis of SEER statistics, tumour as unit of analysis
Population

US population (SEER), 20 most common solid tumours

Country

USA

Period

1950-1995

Sample size

20 tumour types

Inclusion and exclusion criteria

20 most common solid tumours

4. Methods and endpoints

Exposure / intervention

Change in 5-year survival

Comparator

Change in mortality and incidence

Endpoints

Correlation of survival change with mortality and incidence change

Statistical methods

Pearson and Spearman correlation

5. Actual results

Results

5-year survival increased for all 20 tumour types (by 3% pancreas to 50% prostate); mortality fell for 12 and rose for 8; correlation of survival change with mortality change r=0.00 (Spearman -0.07); with incidence change r=+0.49 (Spearman +0.37).

Absolute risks

not applicable

Authors' conclusion

5-year survival is valid for comparing therapies in randomised trials, but changes over time bear little relation to mortality and mainly reflect changes in diagnosis.

6. Strengths

  • Long period, population data
  • Simple transparent method

7. Weaknesses

  • Ecological; 20 data points
  • Does not assess treatment effects directly
  • Data end 1995

8. Risk of bias

Orienting tool
none applicable
Type of assessment
simplified assessment (abstract only)
Full formal assessment
no
Overall risk of bias
not assessable
Rationale

Ecological analysis; not a test of treatment efficacy.

9. Assessment of the statistical interpretation

Correlation coefficients on 20 tumour types; no CIs in abstract.

10. Relevance to the specific claim

Supports a narrow part of C-CHM-13: population survival trends can be inflated by earlier diagnosis (lead-time) and overdiagnosis. It does not show that treatment is useless; the authors state survival is valid within randomised trials.

11. Independent contrary findings

Randomised trials with mortality endpoints (I-CHM-107; I-CHM-01, I-CHM-02).

12. Transferability to Germany and Europe

Applicable to European and Egyptian survival statistics in general.

13. Overall methodological judgement

Correct methodological caution about survival statistics, not evidence against treatment.

Multidimensional assessment
Multidimensional assessment
Authenticity of the sourceverified
Methodological qualitymoderate
Risk of biasnot assessable
Precision of resultslow
Directnessindirect
Reproducibilityreplicated
Consistency with the overall evidenceconsistent
Regional transferabilitymoderate
Adequacy of the interpretation (by the archive)not applicable

14. Open questions

None.

15. Linked fact checks