Evidence map›Paper›PMID 36750449›Full record

Trial reportEndocrinology, diabetes & metabolism2023

Simplifying carb counting: A randomized controlled study - Feasibility and efficacy of an individualized, simple, patient-centred carb counting tool.

Shulamit Witkow, Idit F Liberty, Irina Goloub, Malka Kaminsky, Olga Otto, YonesAbu Rabia, Ilana Harman Boehm, Rachel Golan

Open access · goldFull text readRandomized Controlled Trial
In one paragraph

Trial report in Endocrinology, diabetes & metabolism, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.2field-weighted citation impact, top 11% 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, 11 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Shulamit WitkowDiabetes Unit, Soroka University Medical Center, Beer Sheva, Israel.
Idit F LibertyDiabetes Unit, Soroka University Medical Center, Beer Sheva, Israel.ORCID 0000-0003-1574-6692
Irina GoloubDiabetes Unit, Soroka University Medical Center, Beer Sheva, Israel.
Malka KaminskyDiabetes Unit, Soroka University Medical Center, Beer Sheva, Israel.
Olga OttoDiabetes Unit, Soroka University Medical Center, Beer Sheva, Israel.
YonesAbu RabiaDiabetes Unit, Soroka University Medical Center, Beer Sheva, Israel.
Ilana Harman BoehmClalit HMO of the Negev, Beer Sheva, Israel.
Rachel GolanBen-Gurion University of the Negev, Beer Sheva, Israel.
Soroka Medical Center · ILBen-Gurion University of the Negev · ILClalit Health Services · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe purpose of this study was to introduce and test a simple, individualized carbohydrate counting tool designed for persons with Type 1 Diabetes Mellitus (T1DM) in order to determine whether the tool improved A1C levels for participants with age, education or language barriers.

methodsIn a randomized controlled trial, 85 participants were offered six diabetes instructional sessions free of charge over a six-month period. Forty-one received guidance using the regular carbohydrate counting (RCC) method. Forty-four received guidance using an individualized 'Simple Carb Counting' (SCC), involving two customized tables prepared for participants.

resultsThe simple, individualized SCC tool for carbohydrate counting was non-inferior to the standard method of RCC. The SCC tool was more effective among participants aged 40 and older, while no differences were found when comparing participants by education level. Irrespective of intervention group, all participants improved their A1C level (9.9% = 13.2 mmol/L vs 8.6% = 11.1 mmol/L, p = .001). A greater improvement in A1C level was seen in newly diagnosed participants (-6.1 vs -0.7, p = .005, -3.4 vs 0.9, p = .032) in both the RCC and SCC groups. All participants expressed improved emotional level per their PAID5 questionnaires (Problem Areas in Diabetes Scale-PAID), (10.6 (±5.7) vs 9.5 (±5.7), p = .023), with women reporting greater improvement than men.

conclusionsSCC is a simple, individualized, feasible, low-tech tool for carbohydrate counting, which promotes and enables accurate insulin dosing in people with T1DM. It was found more effective among participants aged 40 and older. Additional studies are needed to corroborate these findings.

Indexed as

Carcinoma, Renal CellDiabetes Mellitus, Type 1Kidney NeoplasmsAdultBlood GlucoseDietary CarbohydratesFeasibility StudiesFemaleGlycated HemoglobinHumansMaleMiddle AgedBlood GlucoseDietary CarbohydratesGlycated Hemoglobincarbohydrate countingpatient instructiontype 1 diabetes

Identifiers

PMID36750449
PMCPMC10000617
OpenAlexW4319334856

What OpenQuestion holds

Textfull text, public
LicenceCC BY
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identifiers read1
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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.