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Record W4382723013 · doi:10.1016/j.eclinm.2023.102054

Response to letter by Campbell et al. regarding the results of the COSTICK trial

2023· article· en· W4382723013 on OpenAlexaff
Andrew Smyth, Martin O’Donnell

Bibliographic record

VenueEClinicalMedicine · 2023
Typearticle
Languageen
FieldNursing
TopicSodium Intake and Health
Canadian institutionsHamilton Health SciencesMcMaster UniversityPopulation Health Research Institute
Fundersnot available
KeywordsMedicineFamily medicine

Abstract

fetched live from OpenAlex

We thank Cambpell et al. for taking the time to read our trial report1Smyth A. Judge C. Kerins C. et al.Dietary counselling to reduce moderate sodium intake: effects on cardiovascular and renal biomarkers: primary findings of the COSIP and STICK phase II feasibility randomised controlled trials.eClinicalMedicine. 2023; 57101856https://doi.org/10.1016/j.eclinm.2023.101856Summary Full Text Full Text PDF PubMed Scopus (0) Google Scholar and pleased to respond to their comments and queries.2Campbell N.R.C. MacGregor G.A. He F.J. Dietary counseling to reduce moderate sodium intake. Concerns about the methods, evidence and feasibility of lowering sodium intake.eClinicalMedicine. 2023; Summary Full Text Full Text PDF Google Scholar Cambpell et al. cite the SODIUM-HF trial as evidence to support the feasibility of reducing sodium intake below 2.0 g/day (salt intake of below 5 g/day).3Ezekowitz J.A. Colin-Ramirez E. Ross H. et al.Reduction of dietary sodium to less than 100 mmol in heart failure (SODIUM-HF): an international, open-label, randomised, controlled trial.Lancet. 2022; 399: 1391-1400https://doi.org/10.1016/S0140-6736(22)00369-5Summary Full Text Full Text PDF PubMed Scopus (36) Google Scholar However, the SODIUM-HF trial measured sodium intake using 3-day food records, which may underestimate sodium intake (compared to 24-h urine assessments). In the COSTICK trial, participants reported a change in their discretionary use of salt, which did not translate into reductions in 24-h urinary excretion, possibly related to compensatory changes in non-discretionary salt intake. Moreover, dietary intake in patients with heart failure is not expected to be representative of the general population. Patients with heart failure are often heavily counselled to reduce dietary sodium intake as part of routine clinical care, and, those with more advanced disease are likely to have a lower caloric intake and, by extension, lower sodium intake. In contrast, our trials included a population with less morbidity and a more heterogenous population of free-living adults, with high quality diets (as evidenced by high diet quality scores and high potassium excretion). In measuring 24-h sodium excretion, which was not a primary outcome of our trial, we chose a threshold of at least 50% predicted creatinine clearance for inclusion in our sensitivity analysis. Our choice was based on a literature review on the accuracy and usefulness of different methods to assess the completeness of 24 h urine, including the systematic review4John K.A. Cogswell M.E. Campbell N.R. et al.Accuracy and usefulness of select methods for assessing complete collection of 24-hour urine: a systematic review.J Clin Hypertens. 2016; 18: 456-467https://doi.org/10.1111/jch.12763Crossref Scopus (81) Google Scholar cited in the letter by Cambpell et al. We selected a cut-off of 50% (observed:predicted creatinine) for pragmatic reasons, as we were keen to include a larger sample size in our analysis, while considering the purpose of the measurement in the setting of a randomised controlled trial. Other studies report a greater sensitivity using a cut-off of 70%.4John K.A. Cogswell M.E. Campbell N.R. et al.Accuracy and usefulness of select methods for assessing complete collection of 24-hour urine: a systematic review.J Clin Hypertens. 2016; 18: 456-467https://doi.org/10.1111/jch.12763Crossref Scopus (81) Google Scholar The purpose of estimating 24-h urine excretion of sodium, in a parallel randomized controlled trial, is primarily to gain an estimate of mean change in sodium excretion between groups, unlike an observational research study designed to estimate mean intake in a population. In the case of randomised controlled trials, the measurement error incurred will be distributed equally between treatment groups, thereby providing a comparative estimate of relative change. In response to this comment, we have completed an analysis confined to participants with 24 h collections with observed: predicted creatinine ratios ≥0.7; the mean sodium intake in the intervention group (n = 67) from 3.70 ± 1.43 g/day to 3.41 ± 1.57 g/day, over two years, and increased from 3.27 ± 1.26 to 3.32 ± 1.30 g/day in the usual care group (n = 61), with an adjusted mean difference of −0.22 (95% CI −0.66 to 0.21)g/day (p = 0.31, n = 128). Therefore, our conclusions are unchanged by the analytical approach employed. Cambpell et al. reference a meta-analysis of randomized controlled trials of sodium reduction trials reporting a mean reduction of sodium intake from 3.65 g/day to 2.69 g/day. However, the majority of clinical trials included were short-term in duration, and we provide a detailed discussion of our findings in the context of other longer-term trials. While no long-term trial has achieved sustained low sodium intake, extended observational follow-up of the Trials of Hypertension Prevent (TOHP) suggests that reducing intake, within a population with moderate intake, may be associated with reduced cardiovascular disease.5Cook N.R. Appel L.J. Whelton P.K. Lower levels of sodium intake and reduced cardiovascular risk.Circulation. 2014; 129: 981-989https://doi.org/10.1161/CIRCULATIONAHA.113.006032Crossref PubMed Scopus (194) Google Scholar We agree with Cambpell et al. that ‘it is difficult for individuals to sustain lower salt intake long-term’, which is a primary conclusion of our trial. The reasons underlying the challenge with reducing sodium intake to sustained low levels is controversial, and may relate to the food environment, but may also relate to physiological drivers related to salt thirst.6Kotchen T.A. Cowley Jr., A.W. Frohlich E.D. Salt in health and disease--a delicate balance.N Engl J Med. 2013; 368: 1229-1237https://doi.org/10.1056/NEJMra1212606Crossref PubMed Scopus (105) Google Scholar The inability to sustain low sodium intake raises a practical issue of whether guidelines should recommend an individual-level target that is considered unfeasible. AS and MOD drafted and finalised this letter in response to a letter received by the journal. The authors (AS and MOD) access and verified the underlying data for the statistical analysis presented in this letter. We declare no competing interests. Dietary counselling to reduce moderate sodium intake: effects on cardiovascular and renal biomarkers: primary findings of the COSIP and STICK phase II feasibility randomised controlled trialsAmong individuals with moderate sodium intake, intensive dietary counselling resulted in small short-term reductions in sodium intake and BP, but no significant effect on sodium intake, BP, or cardiorenal biomarkers at two years. Our trial suggests that it may not feasible to reduce sodium sustainably in those with a sodium intake around 3.0 g/day, through an intensive dietary counselling intervention. Full-Text PDF Open AccessDietary counseling to reduce moderate sodium intake. Concerns about the methods, evidence and feasibility of lowering sodium intakeSmyth et al. performed a 2-year randomized controlled trial (RCT) examining the impact of 6.5 h of dietary advice to reduce sodium intake on blood pressure and biological markers of cardiovascular (CVD) and renal disease.1 However, there are concerns about their methods for assessing urinary sodium and some statements regarding the feasibility of reducing dietary sodium and the evidence supporting sodium reduction. Full-Text PDF Open Access

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.029
metaresearch head score (Gemma)0.176
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.049
Threshold uncertainty score0.153

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0290.176
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0020.002
Science and technology studies0.0030.002
Scholarly communication0.0050.005
Open science0.0050.002
Research integrity0.0490.034
Insufficient payload (model declined to judge)0.0330.023

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.073
GPT teacher head0.411
Teacher spread0.338 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2023
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