Evidence map›Paper›PMID 31722130›Full record

ArticleDiabetic medicine : a journal of the British Diabetic Association2020

Long-term follow-up of a randomized controlled trial of a text-message diabetes self-management support programme, SMS4BG.

R Dobson, R Whittaker, Y Jiang, C McNamara, M Shepherd, R Maddison, R Cutfield, M Khanolkar, R Murphy

Abstract read
In one paragraph

Article in Diabetic medicine : a journal of the British Diabetic Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

9 authors.

R DobsonNational Institute for Health Innovation, School of Population Health, University of Auckland, Auckland, New Zealand.ORCID 0000-0003-0122-1000
R WhittakerNational Institute for Health Innovation, School of Population Health, University of Auckland, Auckland, New Zealand.
Y JiangNational Institute for Health Innovation, School of Population Health, University of Auckland, Auckland, New Zealand.
C McNamaraWaitematā District Health Board, Auckland, New Zealand.
M ShepherdSchool of Psychology, Massey University, Auckland, New Zealand.
R MaddisonInstitute for Physical Activity and Nutrition, Deakin University, Burwood, Vic., Australia.
R CutfieldWaitematā District Health Board, Auckland, New Zealand.
M KhanolkarAuckland District Health Board, Auckland, New Zealand.
R MurphyAuckland District Health Board, Auckland, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo determine the long-term effectiveness of an individually tailored text-message diabetes self-management support programme, SMS4BG, on glycaemic control at 2 years in adults with diabetes with an HbA

methodsWe conducted a 2-year follow-up of a two-arm, parallel, randomized controlled trial across health services in New Zealand. Participants were English-speaking adults with type 1 or 2 diabetes and with an HbA

resultsThe decrease in HbA

conclusionsImprovements in glycaemic control resulting from a text-message diabetes self-management support programme were sustained at 2 years after randomization. These findings support the implementation of SMS4BG in current practice.

Indexed as

Text MessagingAdolescentAdultAgedDiabetes MellitusFemaleFollow-Up StudiesGlycated HemoglobinGlycemic ControlHumansMaleMiddle AgedNew ZealandRandomized Controlled Trials as TopicSelf-ManagementWhite PeopleGlycated Hemoglobinhemoglobin A1c protein, human

Identifiers

PMID31722130
PMCPMC7004024

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.