Evidence map›Paper›PMID 37594797›Full record

ArticleJournal of medical Internet research2023

Response Consistency of Crowdsourced Web-Based Surveys on Type 1 Diabetes.

Yu Kuei Lin, Sean Newman, John Piette

Abstract readLetter
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Observational
  2. 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

3 authors.

Yu Kuei LinDivision of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, United States.ORCID 0000-0003-1988-7046
Sean NewmanDepartment of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, MI, United States.ORCID 0000-0001-6009-6620
John PietteDepartment of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, MI, United States.ORCID 0000-0002-7241-2798

Funding

Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Scott Soleimanpour · 2013 to 2026
$24.3M
Research BaseP30DK092926 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARY ELLEN MICHELE HEISLER, ADESUWA B OLOMU · 2011 to 2026
$10.0M
Minimizing Hypoglycemia in Adults with Type 1 Diabetes through an Integrated Mobile Health and Continuous Glucose Monitoring SystemK23DK129724 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LIN, YU KUEI · 2021 to 2025
$984k
NIDDK NIH HHS K23 DK129724NIDDK NIH HHS P30 DK020572NIDDK NIH HHS P30 DK092926
6 · The paper itself

Abstract

Although Amazon Mechanical Turk facilitates the quick surveying of a large sample from various demographic and socioeconomic backgrounds, it may not be an optimal platform for obtaining reliable diabetes-related information from the online type 1 diabetes population.

Indexed as

CrowdsourcingDiabetes Mellitus, Type 1HumansInternetAmazon Mechanical Turkcross-sectional surveycrowdsourcingdiabetesMTurkonline platformreliabilitysurveyT1Dtype 1 diabetesweb-based platformwebsite

Identifiers

PMID37594797
PMCPMC10474500

What OpenQuestion 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 OpenQuestion graph.