Evidence map›Paper›PMID 36364960›Full record

Trial reportNutrients2022

A Town-Level Comprehensive Intervention Study to Reduce Salt Intake in China: Cluster Randomized Controlled Trial.

Min Liu, Jianwei Xu, Yuan Li, Feng J He, Puhong Zhang, Jing Song, Yifu Gao, Shichun Yan, Wei Yan, Donghui Jin and 5 more

Open access · goldAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
0.7field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Review
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 9 institutions in 2 countries.

Min LiuNational Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 100050, China.ORCID 0000-0001-5904-7100
Jianwei XuNational Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 100050, China.
Yuan LiGeorge Institute for Global Health, Peking University Health Science Center, Beijing 100600, China.ORCID 0000-0003-1887-7065
Feng J HeWolfson Institute of Population Health, Barts and The London School of Medicine & Dentistry, Queen Mary University of London, London E1 4NS, UK.ORCID 0000-0003-2807-4119
Puhong ZhangGeorge Institute for Global Health, Peking University Health Science Center, Beijing 100600, China.ORCID 0000-0003-4610-9848
Jing SongWolfson Institute of Population Health, Barts and The London School of Medicine & Dentistry, Queen Mary University of London, London E1 4NS, UK.
Yifu GaoDepartment for Chronic and Non-Communicable Disease Control and Prevention, Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang 050024, China.
Shichun YanDepartment for Chronic and Non-Communicable Disease Control and Prevention, Heilongjiang Provincial Center for Disease Control and Prevention, Harbin 150030, China.
Wei YanDepartment for Chronic and Non-Communicable Disease Control and Prevention, Jiangxi Provincial Center for Disease Control and Prevention, Nanchang 330029, China.
Donghui JinDepartment for Chronic and Non-Communicable Disease Control and Prevention, Hunan Provincial Center for Disease Control and Prevention, Changsha 410028, China.
Xiaoyu ChangDepartment for Chronic and Non-Communicable Disease Control and Prevention, Sichuan Provincial Center for Disease Control and Prevention, Chengdu 610044, China.
Zhihua XuDepartment for Chronic and Non-Communicable Disease Control and Prevention, Qinghai Provincial Center for Disease Control and Prevention, Xining 810007, China.
Yamin BaiNational Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 100050, China.
Ning JiNational Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 100050, China.
Jing WuNational Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 100050, China.
Chinese Center For Disease Control and Prevention · CNPeking University · CNQueen Mary University of London · GBHebei Provincial Center for Disease Control and Prevention · CNHeilongjiang Center for Tuberculosis Control and Prevention · CNHunan Provincial Center for Disease Control and Prevention · CNNanchang Center for Disease Control and Prevention · CNQinghai Institute for Endemic Diease Prevention and Control · CNSichuan Center for Disease Control and Prevention · CN

Funding

Medical Research Council MR/J015903/1Medical Research Council MR/P012590/1Medical Research Council MR/V005847/1National Institute of Health Research 16/136/77
6 · The paper itself

Abstract

We determined whether a town-level comprehensive intervention program could lower the salt intake of a population. The parallel, cluster randomized controlled trial was carried out between October 2018 and January 2020 in 48 towns from 12 counties across 6 provinces in China. All participants were asked to complete the 24 h urine collections, anthropometric measurements and questionnaires at the baseline and one-year post-intervention survey. A total of 2693 participants aged 18 to 75 years were recruited at the baseline. A total of 1347 individuals in 24 towns were allocated to the intervention group and the others were allocated to the control group. Valid information from 2335 respondents was collected in the follow-up survey. The 24-h urinary sodium excretion was 189.7 mmol/24 h for the intervention group and 196.1 mmol/24 h for the control group at baseline. At a one-year follow-up, the mean effect of salt intake did not show a significant change (p = 0.31) in the intervention group compared to the control group. However, the mean result of potassium excretion in the intervention group increased by 2.18 mmol/24 h (85.03 mg/24 h) (p = 0.004) and systolic blood pressure decreased by 2.95 mmHg (p < 0.001). The salt-related knowledge and attitude toward salt reduction improved significantly in the intervention group (p < 0.05). A longer period of intervention and follow-up assessment might be needed to evaluate the long-term effectiveness of the program on salt reduction.

Indexed as

HypertensionSodium Chloride, DietaryBlood PressureChinaCitiesHumansPotassiumPotassiumSodium Chloride, DietaryChinarandomized trialsalt reductionsodiumtwenty-four hour urinary sodium

Identifiers

PMID36364960
PMCPMC9654622
OpenAlexW4308442304

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.