Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 270

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Beverage Use and Risk for Kidney Stones in Women

Curhan, Gary C., Willett, Walter C., Speizer, Frank E., Stampfer, Meir J.·1998·Annals of Internal Medicine

Abstract

BACKGROUND: An increase in fluid intake is routinely recommended for patients who have had kidney stones to decrease the likelihood of recurrence. However, data on the effect of particular beverages on stone formation in women are limited. OBJECTIVE: To examine the association between the intake of 17 beverages and risk for kidney stones in women. DESIGN: Prospective cohort study with 8 years of follow-up. SETTING: United States. PARTICIPANTS: 81093 women in the Nurses' Health Study who were 40 to 65 years of age in 1986 and had no history of kidney stones. MEASUREMENTS: Beverage use and diet were assessed in 1986 and 1990 with a validated, self-administered food-frequency questionnaire. The main outcome measure was incident symptomatic kidney stones. RESULTS: During 553 081 person-years of follow-up over an 8-year period, 719 cases of kidney stones were documented. After risk factors other than fluid intake were controlled for, the relative risk for stone formation for women in the highest quintile of total fluid intake compared with women in the lowest quintile was 0.62 (95% CI, 0.48 to 0.80). Inclusion of consumption of specific beverages in the multivariate model significantly added to prediction of risk for kidney stones (P < 0.001). In a multivariate model that adjusted simultaneously for the 17 beverages and other possible risk factors, risk for stone formation decreased by the following amount for each 240-mL (8-oz) serving consumed daily: 10% (CI, 5% to 15%) for caffeinated coffee, 9% (CI, 2% to 15%) for decaffeinated coffee, 8% (CI, 1% to 15%) for tea, and 59% (CI, 32% to 75%) for wine. In contrast, a 44% (CI, 9% to 92%) increase in risk was seen for each 240-mL serving of grapefruit juice consumed daily. CONCLUSIONS: An increase in total fluid intake can reduce risk for kidney stones, and the choice of beverage may be meaningful.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.7326/0003-4819-128-7-199804010-00003

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 3 references

Cited by

Metadata

Authors
Curhan, G. C., Willett, W. C., Speizer, F. E., & Stampfer, M. J.
Venue
Annals of Internal Medicine
Published
1998-04-01
Volume
128
Issue
7
Pages
534-540
ISSN
  • 0003-4819 (ISSN-L)
  • 1539-3704
OpenAlex
W2087246474
Cited by
270
References
3
FWCI
8.60
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.