Cross-sectional studyindependent cross-checkabstract checked★ key study I-VEG-117 standard review

Usual dietary oxalate changes urine oxalate only a little

Determinants of 24-hour urinary oxalate excretion.

Overview

Taylor EN et al.. Clin J Am Soc Nephrol 2008 · PMID 18650406 · DOI 10.2215/CJN.01410308

People eating the most oxalate excreted only 1.7 mg/day more oxalate than those eating the least.

Does the study support the specific claim? No · Methodological quality: moderate

Original publication

Plain-language summary

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

Find determinants of urinary oxalate.

How was the study done?

Cross-sectional cohort analysis.

How many people, animals or samples were studied?

3,348 adults.

What was actually found?

Small dietary oxalate effect; vitamin C, BMI, diabetes matter.

How large was the observed effect?

+1.7 mg/d (Q4 vs Q1).

What do the results mean in everyday life?

Ordinary amounts of greens hardly change kidney-stone chemistry.

What are the study's limitations?

Cross-sectional; imprecise intake.

What does it say about Elawady's specific claim?

Limits the claim.

Do the results apply to Germany and Europe?

Transferable.

What can explicitly not be concluded from this study?

Cannot exclude effects of very high intakes.

Scientific in-depth review

1. Full reference

Authors
Taylor EN et al.
Journal
Clin J Am Soc Nephrol
Year
2008
Identifier
PMID 18650406 DOI 10.2215/CJN.01410308
Verification
verified – PubMed efetch 2026-10-26; Crossref 2026-10-26
Retracted
no
Corrections
none
Extent checked
abstract only
Conflicts of interest and funding

Funding (PubMed grant list): NCI NIH HHS; NIDDK NIH HHS

2. Research question

What determines 24-h urinary oxalate excretion?

3. Study design and population

Study design
Cross-sectional study – Cross-sectional analysis of 24-h urine collections in three cohorts (HPFS, NHS I, NHS II)
Population

Stone formers and non-stone formers from US health-professional cohorts

Country

USA

Period

not stated in abstract

Sample size

3,348

Inclusion and exclusion criteria

not stated in abstract

4. Methods and endpoints

Exposure / intervention

Dietary oxalate, vitamin C, calcium, fructose, BMI, diabetes, urinary factors

Comparator

Quartiles

Endpoints

24-h urinary oxalate

Statistical methods

Multivariable regression across quartiles

5. Actual results

Results

Median urinary oxalate 39 mg/d (men), 27 (older women), 26 (younger women). Highest vs lowest quartile of dietary oxalate: +1.7 mg/d urinary oxalate (P trend 0.001); vitamin C >=1,000 mg/d: +6.8 mg/d; calcium intake and age inversely associated; diabetes +2.0 mg/d.

Absolute risks

not reported

Authors' conclusion

The impact of dietary oxalate on urinary oxalate appears to be small.

6. Strengths

  • Large sample with 24-h urines
  • Includes stone formers and non-formers

7. Weaknesses

  • Cross-sectional
  • FFQ oxalate estimates imprecise

8. Risk of bias

Orienting tool
ROBINS-E
Type of assessment
simplified assessment (abstract only)
Full formal assessment
no
Overall risk of bias
some concerns
Rationale

Measurement error in oxalate intake likely attenuates.

9. Assessment of the statistical interpretation

+1.7 mg/d equals 4-7% of median excretion (stats/C-VEG-05_oxalate.py).

10. Relevance to the specific claim

Limits the claim: in everyday diets, dietary oxalate shifts urinary oxalate only slightly.

11. Independent contrary findings

Holmes 2001 controlled diets show a larger dietary share.

12. Transferability to Germany and Europe

US data; physiology transferable.

13. Overall methodological judgement

Together with Taylor 2007 (I-VEG-05), supports that greens are not a major stone driver for most people.

Multidimensional assessment
Multidimensional assessment
Authenticity of the sourceverified
Methodological qualitymoderate
Risk of biassome concerns
Precision of resultsmoderate
Directnessdirect
Reproducibilitypartly replicated
Consistency with the overall evidencemixed
Regional transferabilitymoderate
Adequacy of the interpretation (by the archive)not applicable

14. Open questions

Measurement-error-corrected estimates.

15. Linked fact checks