Evidence map›Paper›PMID 35254406›Full record

ArticleAdvances in nutrition (Bethesda, Md.)2022

Food and Nutrition Systems Dashboards: A Systematic Review.

Bingjie Zhou, Shiwei Liang, Kyle M Monahan, Gitanjali M Singh, Ryan B Simpson, Julia Reedy, Jianyi Zhang, Annie DeVane, Melissa S Cruz, Anastasia Marshak and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Advances in nutrition (Bethesda, Md.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
4.4field-weighted citation impact, top 5% 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
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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

16 authors at 2 institutions in 2 countries.

Bingjie ZhouNutrition Epidemiology and Data Science, Tufts University Friedman School of Nutrition Science and Policy, Boston, MA, USA.ORCID 0000-0002-9776-0414
Shiwei LiangNutrition Epidemiology and Data Science, Tufts University Friedman School of Nutrition Science and Policy, Boston, MA, USA.
Kyle M MonahanData Lab, Tufts Technology Services, Tufts University, Medford, MA, USA.
Gitanjali M SinghNutrition Epidemiology and Data Science, Tufts University Friedman School of Nutrition Science and Policy, Boston, MA, USA.
Ryan B SimpsonNutrition Epidemiology and Data Science, Tufts University Friedman School of Nutrition Science and Policy, Boston, MA, USA.
Julia ReedyNutrition Epidemiology and Data Science, Tufts University Friedman School of Nutrition Science and Policy, Boston, MA, USA.
Jianyi ZhangNutrition Epidemiology and Data Science, Tufts University Friedman School of Nutrition Science and Policy, Boston, MA, USA.
Annie DeVaneNutrition Epidemiology and Data Science, Tufts University Friedman School of Nutrition Science and Policy, Boston, MA, USA.
Melissa S CruzNutrition Epidemiology and Data Science, Tufts University Friedman School of Nutrition Science and Policy, Boston, MA, USA.
Anastasia MarshakNutrition Epidemiology and Data Science, Tufts University Friedman School of Nutrition Science and Policy, Boston, MA, USA.
Dariush MozaffarianNutrition Epidemiology and Data Science, Tufts University Friedman School of Nutrition Science and Policy, Boston, MA, USA.ORCID 0000-0001-7958-9492
Dantong WangNestlé Institute of Health Sciences, Nestlé Research, Lausanne, Switzerland.
Iaroslava SemenovaNestlé Institute of Health Sciences, Nestlé Research, Lausanne, Switzerland.
Ivan MontoliuNestlé Institute of Health Sciences, Nestlé Research, Lausanne, Switzerland.
Daniela ProzorovscaiaNestlé Institute of Health Sciences, Nestlé Research, Lausanne, Switzerland.
Elena N NaumovaNutrition Epidemiology and Data Science, Tufts University Friedman School of Nutrition Science and Policy, Boston, MA, USA.ORCID 0000-0002-9562-4734
Tufts University · USNestlé (Switzerland) · CH

Funding

Tufts Post-Baccalaureate Research Education ProgramR25GM066567 · NIGMS · TUFTS UNIVERSITY BOSTON · PI RIOS, MARIBEL · 2002 to 2024
$5.7M
NIGMS NIH HHS R25 GM066567Société des Produits Nestlé
6 · The paper itself

Abstract

The rapid expansion of food and nutrition information requires new ways of data sharing and dissemination. Interactive platforms integrating data portals and visualization dashboards have been effectively utilized to describe, monitor, and track information related to food and nutrition; however, a comprehensive evaluation of emerging interactive systems is lacking. We conducted a systematic review on publicly available dashboards using a set of 48 evaluation metrics for data integrity, completeness, granularity, visualization quality, and interactivity based on 4 major principles: evidence, efficiency, emphasis, and ethics. We evaluated 13 dashboards, summarized their characteristics, strengths, and limitations, and provided guidelines for developing nutrition dashboards. We applied mixed effects models to summarize evaluation results adjusted for interrater variability. The proposed metrics and evaluation principles help to improve data standardization and harmonization, dashboard performance and usability, broaden information and knowledge sharing among researchers, practitioners, and decision makers in the field of food and nutrition, and accelerate data literacy and communication.

Indexed as

dashboard evaluationdata visualizationnutrition and food surveillancenutrition data qualityquality metrics

Identifiers

PMID35254406
PMCPMC9156375
OpenAlexW4214881776

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.