The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Implications of the INTERSALT study.
Abstract
It has been said that two people can sleep in thesame bed but have different dreams. The samephenomenon is sometimes seen when the same data are observed by two people who come to opposite conclusions as to their meaning. A case in point is the contrast in evaluating the implications of the INTERSALT study,1 as voiced by two figures well known in international research on hypertension. Dr. Simpson of New Zealand writes as follows: "... the INTERSALT data on the slope of blood pressure with age in relation to sodium intake are unique and more encouraging to the idea that salt is important."2 But Dr. Swales of England has written: "Salt has only small importance in hypertension. "3 Two words have been italicized in this latter quotation, "small " and "hypertension, " since they provide a clue that helps explain what I judge to be an erroneous interpreta-tion of INTERSALT and of the whole issue of salt and blood pressure. The error arises from the impos-ing of a strictly clinical approach when the question under study is about implications for the population. Patients and Populations A clinician, observing a patient in his or her office, will note that the blood pressure may change 2, 3, 5, or even 10 mm Hg from one measurement to the next. The clinician will, understandably, call such differences small in magnitude and unimportant for health. But is it appropriate to look at findings on populations, such as in the INTERSALT study,1 in the same way? The INTERSALT data indicate that if a population, on average, had a daily sodium intake lower by 100 mmol (about 1 teaspoon salt), average population systolic blood pressure would be lower by 2-3 mm Hg (Table 1). If other relevant aspects of lifestyle were improved in the population (higher potassium intake so that the sodium/potassium ratio was 1 instead of 3 as observed in INTERSALT, average weight lower by about 6 kg [13 lb], and excess alcohol avoided), then population average systolic pressure could be lower by at least 5 mm Hg. Is this difference really small when applied not to the vari-ations of blood pressure of a patient but to a poten-tially lower average blood pressure in a population?
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.
Integrity signals
Registry
Cites
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.
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
MACMAHON, S. (1990) · The Lancet · doi:10.1016/0140-6736(90)90878-9 · Cited by 4,253 · cited 1×
“It is likely that these differences are underestimations of the impact of blood pressure on mortality because they were based on blood pressure measurements on a single occasion only.(6) Nonetheless, what do reductions of this dimension in death rates mean in terms of the potential number of lives that could be saved…”
Background
Cited by
Chobanian, A. V., Bakris, G. L., Black, H. R., Cushman, W. C., Green, L. A., Izzo, J. L., Jones, D. W., Materson, B. J., Oparil, S., Wright, J. T., et al. (2003) · Hypertension · doi:10.1161/01.hyp.0000107251.49515.c2 · Cited by 13,271
Lloyd-Jones, D. M., Hong, Y., Labarthe, D., Mozaffarian, D., Appel, L. J., Van Horn, L., Greenlund, K., Daniels, S., Nichol, G., Tomaselli, G. F., et al. (2010) · Circulation · doi:10.1161/circulationaha.109.192703 · Cited by 4,750
Danaei, G., Ding, E. L., Mozaffarian, D., Taylor, B., Rehm, J., Murray, C. J. L., & Ezzati, M. (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000058 · Cited by 2,860
Appel, L. J., Brands, M. W., Daniels, S. R., Karanja, N., Elmer, P. J., & Sacks, F. M. (2006) · Hypertension · doi:10.1161/01.hyp.0000202568.01167.b6 · Cited by 1,304
Lackland, D. T., Roccella, E. J., Deutsch, A. F., Fornage, M., George, M. G., Howard, G., Kissela, B. M., Kittner, S. J., Lichtman, J. H., Lisabeth, L. D., et al. (2014) · Stroke · doi:10.1161/01.str.0000437068.30550.cf · Cited by 815
Metadata
- Authors
- Stamler, R.
- Venue
- Hypertension
- Published
- 1991-01
- Volume
- 17
- Issue
- 1_supplement
- Pages
- I16-20
- ISSN
- 0194-911X (ISSN-L)
- 1524-4563
- OpenAlex
- W1997087913
- Cited by
- 288
- References
- 2
- FWCI
- 7.43
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Implications of the INTERSALT study. https://app.cochat.ai/papers/10.1161/01.hyp.17.1_suppl.i16
- The paper
- Stamler, R. (1991). Implications of the INTERSALT study. Hypertension. https://doi.org/10.1161/01.hyp.17.1_suppl.i16
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.