Observational studyJournal of diabetes investigation2016

Relationship between the efficacy of oral antidiabetic drugs and clinical features in type 2 diabetic patients (JDDM38).

Azuma Kanatsuka, Yasunori Sato, Koichi Kawai, Koichi Hirao, Masashi Kobayashi, Atsunori Kashiwagi, Japan Diabetes Clinical Data Management Study Group (JDDM), Nobuyuki Abe, Keiko Arai, Hiroshi Fujiya and 48 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Journal of diabetes investigation, 2016. The graph read 2 numbers from its abstract, feeding 2 cells of the map, but none could be read as for or against, so it casts no vote. Cited by 13 papers, 1 of them a synthesis that pooled it.

2numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 20% 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.

Read, but not usablea number the graph found but could not read as for or against

Body weight & compositioncomparator not stated · t2dfeeds 2 cells of the map
increase 25.0P = 0.00
BMI increased with SU in the patients stratified by a BMI of <25 (P = 0.00), and decreased with metformin in the patients with a BMI >25 (P = 0.00).
Body weight & compositioncomparator not stated · t2dfeeds 2 cells of the map
decrease -25.0P = 0.00
BMI increased with SU in the patients stratified by a BMI of <25 (P = 0.00), and decreased with metformin in the patients with a BMI >25 (P = 0.00).

clause the extractor read what became the number

2 · Its place on the map

Where it lands on the map

Rows are treatments, columns are outcomes. The coloured squares are the cells this paper feeds, coloured by the vote it casts there. Click one to jump to what this paper adds to it.

supports the treatmentfavours the comparatorno clear differenceread, but no usable result
3 · What it changes

What it adds to each cell

For every cell the paper feeds: the belief in the claim with and without this paper, and this paper's estimate drawn against every other readable study in the cell. The ringed dot is this paper.

Metformin×body weight & composition

No readable resultOpen on the map →What to test next →

19 readable studies in this cell: 8 favour the treatment, 6 find no difference, 5 favour the comparator.

Belief with this paper
0.50contested · 8 families support, 4 contradict · against placebo
Without itNot a counted family in this claim, so removing it changes nothing.
← favours the comparatorfavours the treatment →
0 · no effect
NCT018093271,186 enrolled · 2013
Δ -0.90-1.60 to -0.20
NCT008598981,093 enrolled · 2009
Δ -1.37-2.03 to -0.71
NCT00643851994 enrolled · 2008
Δ -0.05-0.72 to 0.61
NCT02932475831 enrolled · 2017
Δ 0.04
NCT00676338820 enrolled · 2008
Δ -0.04-0.61 to 0.53
NCT02980276535 enrolled · 2017
Δ -0.70-1.30 to -0.20
Δ 17.05.00 to 29.0
increase 1.26-0.24 to 2.75
weight loss -16.2-60.2 to -4.40

This paper's own estimate is on a different scale from the rest of the cell, so it is not drawn here.

Sulfonylureas & glinides×body weight & composition

No readable resultOpen on the map →What to test next →

14 readable studies in this cell: 2 favour the treatment, 1 find no difference, 11 favour the comparator.

Belief with this paper
0.27contested · 1 family supports, 2 contradict · against placebo
Without itNot a counted family in this claim, so removing it changes nothing.
← favours the comparatorfavours the treatment →
0 · no effect
NCT009688121,452 enrolled · 2009
Δ -5.20-5.70 to -4.70
NCT006609071,217 enrolled · 2008
Δ -4.65-5.14 to -4.17
NCT003184611,091 enrolled · 2006
Δ -3.75-4.48 to -3.01
NCT03332771954 enrolled · 2017
Δ -3.58-4.65 to -2.52
NCT02471404939 enrolled · 2015
Δ -5.30-5.93 to -4.67
NCT00575588891 enrolled · 2007
Δ -2.20-2.70 to -1.70
NCT01682759751 enrolled · 2012
IRR -3.70-10.6 to 3.30
NCT00294723746 enrolled · 2006
Δ -3.58-4.28 to -2.87
NCT02033889621 enrolled · 2013
Δ -1.60-2.16 to -1.03
NCT02419612444 enrolled · 2015
Δ -4.06-4.84 to -3.28
NCT00393718400 enrolled · 2006
Least Squares Mean -1.91-2.34 to -1.48
NCT02564926125 enrolled · 2016
Δ -2.60-3.35 to -1.82

This paper's own estimate is on a different scale from the rest of the cell, so it is not drawn here.

4 · 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.

5 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Management of Diabetes and Hypertension within the Gulf Region: Updates on Treatment Practices and Therapies.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2022
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Observational
6 · The record

Corrections and comments

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

7 · Who and what money

Authors and funding

58 authors at 3 institutions in 1 country.

Azuma KanatsukaDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Yasunori SatoClinical Research Center Graduate School of Medicine Chiba University Chiba Japan.
Koichi KawaiKawai Clinic Tsukuba Japan.
Koichi HiraoH.E.C. Science Clinic Yokohama Japan.
Masashi KobayashiDiabetes Center Takaoka Social Insurance Hospital Takaoka Japan.
Atsunori KashiwagiKusatsu General Hospital Shiga Japan.
Japan Diabetes Clinical Data Management Study Group (JDDM)
Nobuyuki AbeDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Keiko AraiDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Hiroshi FujiyaDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Yoshihide FukumotoDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Fumihiko DakeDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Tomohiro IizumiDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Masaaki ItoDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Koichi IwasakiDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Akira KanamoriDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Sumio KatoDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Masakazu KatoDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Akira KawaraDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Kenichi KimuraDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Kazumasa ChikamoriDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Kotaro IemitsuDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Shigetake KouDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Mikihiko KudoDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Yoshio KuriharaDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Gendai LeeDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Akira TsuruokaDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Naoki MandaDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Kiyokazu MatobaDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Hiroshi HayashiDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Masae MinamiDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Nobuichi KuribayashiDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Kazuhiro MiyazawaDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Yasuko ChibaDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Takeshi OsonoiDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Shin NakamuraDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Hideo SasakiDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Katsutoshi KomoriDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Mariko OishiDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Akira OkadaDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Fuminobu OkuguchiDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Morifumi YanagisawaDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Hidekatsu SugimotoDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Hiromichi SugiyamaDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Masahiko TakaiDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Masato TakakiDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Hiroshi TakamuraDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Hiroshi TakedaDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Hiroshi TakedaDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Kokichi TanakaDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Takashi MiwaDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Osamu TomonagaDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Madoka TaguchiDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Katsuya YamazakiDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Takako WadaDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Noriharu YagiDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Kuniko YamaokaDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Atsuyoshi YuharaDiabetes Center Chiba Central Medical Center Chiba University Chiba Japan.
Chiba University · JPKouseiren Takaoka Hospital · JPTsukuba Medical Center Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

8 · The paper itself

Abstract

The marked sentences are the ones the graph read a number from.

AIMS/

introductionWe carried out an observational cohort study to examine the relationship between the efficacy of oral antidiabetic drugs and clinical features in type 2 diabetics. MATERIALS AND

methodsWe analyzed the CoDiC(®) database of the Japan Diabetes Data Management Study Group across 67 institutions in Japan. In a total of 3,698 drug-naïve patients who were initiated with metformin, dipeptidyl peptidase-4 inhibitor (DPP-4i) or sulfonylurea (SU) from 2007 to 2012, we evaluated body mass index (BMI) and hemoglobin A1c (HbA1c). The patients were stratified according to their clinical features, and matched using a propensity score to adjust for baseline factors.

resultsHbA1c was reduced with all drugs, with the largest effect elicited by DPP-4i and the smallest by SU (P = 0.00). HbA1c increased with SU after 6 months in the patients stratified by an age-of-onset of <50 years (P = 0.00). BMI increased with SU in the patients stratified by a BMI of <25 (P = 0.00), and decreased with metformin in the patients with a BMI >25 (P = 0.00). The reduction in HbA1c was larger in patients with HbA1c of ≥8%, compared with that in patients with HbA1c of <8% (P = 0.00). HbA1c during the study period was higher in patients who were added to or swapped with other drug(s), than in patients continued on the original drug (P = 0.00).

conclusionsThe effect on bodyweight and glycemic control differed among metformin, DPP-4i and SU, and the difference was associated with clinical features.

Indexed as

Administration, OralAgedBody Mass IndexCohort StudiesDiabetes Mellitus, Type 2Dipeptidyl-Peptidase IV InhibitorsFemaleGlycated HemoglobinHumansHypoglycemic AgentsMaleMetforminMiddle AgedPropensity ScoreSulfonylurea CompoundsTreatment OutcomeDipeptidyl-Peptidase IV InhibitorsGlycated Hemoglobinhemoglobin A1c protein, humanHypoglycemic AgentsMetforminSulfonylurea CompoundsOral antidiabetic drugPropensity score‐matched cohort studyType 2 diabetes mellitus

Identifiers

PMID27330726
PMCPMC4847894
OpenAlexW2096456867

What OpenQuestion holds

Texttitle and abstract
LicenceCC BY-NC-ND
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.