Neal 2021.
Study characteristics | ||
Methods |
Study design: Cluster‐randomised controlled trial Country: China Setting: Intervention conducted in villages from five provinces Hebei, Liaoning, Ningxia, Shanxi and Shaanxi in northern region. NR where outcomes were measured Comments: SSaSS: Salt Substitute and Stroke Study Aim of study: The primary objective of the SSaSS is to determine the effects of sodium reduction achieved through the use of a reduced‐sodium, added potassium salt substitute on the risk of fatal or non‐fatal stroke. The secondary objectives are to determine the effects of the intervention on (1) major vascular events, a composite of non‐fatal stroke, non‐fatal acute coronary syndrome, and vascular death, and (2) total mortality. Unit of allocation: Villages Start date: April 2014 End date: March 2021 Relevant study limitations as reported by study authors: Neal 2021: No serial assessments of blood potassium, therefore, hyperkalaemia may have been missed in some participants. Dose‐response analysis could not be conducted since only one type of LSSS was used. No concealment of intervention delivery; however, objective primary and secondary outcomes were reported. In addition, systematic searches of routinely collected health data and verification by an independent end‐point adjudication committee, the members of which were unaware of the trial group assignments, was conducted, but authors stated that "Information that could be used for adjudication of outcome events was limited, and definitive assignment of causation was difficult in many cases.” No evidence was found to suggest certainty of adjudications had any substantive implications for the primary conclusions of the trial. Huang 2020: Hyperkalaemia risk in the study did not include vulnerable populations (e.g. CKD). Increased uncertainty of the effect estimates for intermediate outcomes due to the cluster‐randomised trial design (compared to an individual‐randomised trial). Incomplete participation of invited participants and incomplete collection of 24‐hour urine collections in interim surveys (however: those that participated were broadly representative of overall study population); and absence of 24‐hour urine for two provinces at baseline Sample size calculation: Estimated sample size of 21,000 participants in 600 clusters (n = 300 in the LSSS intervention group; n = 300 in control group, with 35 participants in each cluster) to detect a >= 13% relative risk reduction for stroke in the intervention villages compared with control villages, with 90% statistical power and 95% confidence level (two‐sided). The estimate assumed a primary outcome event rate of 3.5% per year, a systolic blood pressure difference of 3.0 mmHg between randomised groups, and an ICC of 0.04. |
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Participants |
Baseline Characteristics LSSS intervention
Control
Overall
Inclusion criteria: Individuals in the selected villages with an elevated risk of stroke, defined as a history of stroke (regardless of type or knowledge of aetiology) and/or age 60 years or greater with uncontrolled high blood pressure (systolic blood pressure >= 140 mm Hg at visit if on blood pressure–lowering medication or systolic blood pressure >= 160 mm Hg if not on blood pressure–lowering medication). Participants were also required to be contactable by telephone and be able to nominate a friend or relative through which they could also be contacted, if necessary. Exclusion criteria: Participant or family members were excluded if they: (1) or someone living in their household had a potential contraindication to the salt substitute used in the trial; contraindications included use of a potassium‐sparing diuretic, use of a potassium supplement, or known serious kidney disease; (2) had serious renal impairment; (3) were taking potassium‐sparing diuretic; (4) were taking potassium supplement;(5) had concerns about using salt substitute; (6) ate most meals outside home; (7) were expected to live less than 6 months from date of baseline assessment by village doctors Pretreatment: No group differences Method of recruitment of participants: Two counties per province were selected by the research team based upon their willingness to participate, their proximity to the local research team and being representative of the socioeconomic level of each province. Sixty villages in each of the counties were recruited through a consent process involving the leadership of the local county Bureaus of Health (identified villages that were willing and accessible). About 35 individuals at elevated risk of stroke were recruited in each village. Informed consent obtained: Yes (written) Clusters: n = 600; cluster size: n = 35 individuals Subgroups planned/measured: NR Subgroups reported: Age > 65 years vs. age <= 65 years; female vs. male; less educated vs. more educated; cerebrovascular disease vs. no cerebrovascular disease; diabetes vs. no diabetes; hypertensive vs. non‐hypertensive; using antihypertensive medication vs. not using antihypertensive medication; SBP > 153 mmHg vs. SBP <= 153 mmHg; DBP > 89 mmHg vs. <= 89 mmHg and BMI > 24.6 kg/m2 vs. BMI <= 24.6 kg/m2 Participant flow Assessed for eligibility: NR Excluded (number with reasons): n = 1 individual (death) Randomised: n = 600 villages (n = 20,995 individuals) Allocated to LSSS intervention(s): n = 300 villages (n = 10,504 individuals) Allocated to control: n = 300 villages (n = 10,491 individuals) Received allocated LSSS intervention(s): NR Did not receive allocated LSSS intervention(s): NR Lost to follow‐up (LSSS intervention group): n = 1969 individuals (death) Discontinued intervention (LSSS intervention group): NR Analysed (LSSS intervention group): n = 10,504 (cardiovascular outcomes ‐ fatal or non‐fatal stroke; major cardiovascular outcomes; all‐cause mortality) n = 786 at 12 months (DBP, SBP); n = 1412 at 24 months (DBP, SBP); n = 584 at 36 months (DBP, SBP); n = 587 at 48 months (DBP, SBP); n = 7436 (60 months) (DBP, SBP) Excluded from analysis (LSSS intervention group): NR Received allocated control: NR Did not receive allocated control: NR Lost to follow‐up (control group): 2203 individuals (death) Discontinued intervention (control group): NR Analysed (control group): n = 10,491 (cardiovascular outcomes ‐ fatal or non‐fatal stroke; major cardiovascular outcomes; all‐cause mortality) n = 658 at 12 months (DBP, SBP); n = 1374 at 24 months (DBP, SBP); n = 584 at 36 months (DBP, SBP); n = 559 at 48 months (DBP, SBP); n = 7081 (60 months) (DBP, SBP) Excluded from analysis (control group): NR |
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Interventions |
Intervention Characteristics LSSS intervention
Control
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Outcomes |
Primary outcomes:
Secondary outcomes:
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Notes |
Funding source: Supported by research grants (APP1164206 and APP1049417) and an investigator grant (APP1197709, to Dr. Neal) from the National Health and Medical Research Council of Australia. Dr J HY Wu is supported by a UNSW Scientia Fellowship. Salt substitute donated by Jiangsu Sinokone Technology for years 3 to 4 of the study Authors name: Bruce Neal Institution: Sydney School of Public Health, University of Sydney, Sydney, Australia. Email: bneal@georgeinstitute.org.au Possible conflicts of interest (for study authors): Paul Elliott declared various grants from non‐profit organisations and is an unpaid member of 'Action on Salt and health; World Action on Salt, Sugar and health'; Dr. Yangfeng Wu received a research grant from Health Source (Chongqing) Cardiovascular Health Technology Co. (a pilot study on the effect of very low‐sodium salt substitute among patients with hypertension); other study authors declared no conflict of interest. Sources used for data extraction: Journal article(s) with results of the trial; trial protocol (published; trial registry); conference abstract Trial registration details: NCT02092090 |
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Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Low risk | The authors stated that county‐stratified random assignment occurred through a central computerised process, done by an independent biostatistician. |
Allocation concealment (selection bias) | Low risk | Randomisation was conducted by an independent biostatistician through a central computerised process. |
Blinding of participants and personnel (performance bias) All outcomes | Low risk | Although participants and personnel involved with study implementation, e.g. village doctors, were not blinded, the risk of bias was minimised by the measurement of objective outcomes such as clinical events or measurements such as blood pressure. |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | The trial registry indicated that investigators and outcomes assessors were blinded to allocation, measurement of process indicators were intended to be measured separately to avoid unblinding, and it appeared as though an analysis plan was finalised before data unblinding. However, Huang and colleagues 2020 reported that ‘the trial has an unavoidable open design and biases consequent upon the unblinded design cannot be entirely excluded’. Endpoint adjudication committees were blinded. |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Mortality: Both groups had complete follow‐up outcome data. Cardiovascular events: Non‐fatal events were assessed among the participants for 99,473 of 99,522 person‐years (> 99.9%) of scheduled follow‐up. SBP and DBP: Death was the main reason for the attrition in both groups at 60‐months follow‐up. Reported attrition, other than death, was 10.5% (1099/10504) in the intervention vs. 11.5% (1207/10491) in the control group. Data for mortality were complete, and data for events could also be found for all surviving participants (albeit from sources with different quality and risk for misclassification). Attrition for blood pressure measurements in participants surviving at 60 months was 1099/8535 (13%) in the intervention and 1207/8288 (15%) in the control arm, however, there appeared to be no difference in the reasons for most of the missingness (followed up through nominated contact, followed up through record linkage, followed up at previous visit). Blood pressure measurements for participants followed up in person remained unaccounted for in 286/7722 (4%) participants in the intervention and 327/7408 (4%) participants in the control arm. |
Selective reporting (reporting bias) | Unclear risk | Some prespecified outcomes e.g. total major vascular events (as a composite outcome) were not reported. The study authors reported subgroup analyses, which was not prespecified. |
Other bias | High risk | Misclassification bias: The study authors reported that information used for adjudication of outcome events was limited, and definitive assignment of causation was difficult in many cases. However, they reported no evidence of a potential effect of misclassification of clinical end‐points on effect estimates. Further, the authors stated that the lack of serial monitoring of blood potassium in the study may have resulted in missing participants with hyperkalaemia. Definite and probable hyperkalaemia events were defined on the basis of medical reports documenting a serum potassium > 5.5 mmol/L or ECG or enzyme changes. A post hoc decision was taken to classify participants with possible hyperkalaemia (based on self‐report; not requiring any supporting documentation). |
Recruitment bias (cluster‐RCTs) | Low risk | All participants in the selected villages were recruited before villages were allocated to the intervention or control group. |
Comparability with individually randomised trials (cluster‐RCTs) | Unclear risk | There were no RCTs that reported on long‐term cardiovascular clinical outcomes, following LSSS interventions. To date, some RCTs have reported short term benefits in cardiovascular risk factors, such as reductions in blood pressure (CSSS Collaborative Group 2007; Zhao 2014), while others have not (Gilleran 1996; Mu 2003; Sarkkinen 2011; Suppa 1988). |
Loss of clusters (cluster‐RCTs) | Low risk | The complete data on vital status for all participants indicated that it was very unlikely that entire clusters were lost from the study. |
Baseline imbalance (cluster‐RCTs) | Low risk | No baseline imbalances reported between the intervention and control groups in terms of demographic characteristics or comorbidity risk |
Incorrect analysis (cluster‐RCTs) | Low risk | Adjustment for clustering was made with the use of a hierarchical Poisson regression model. |
Overall risk of bias | Low risk | Low risk of bias for incomplete outcome data, baseline imbalance, recruitment bias and loss of clusters |