Evidence map›Paper›PMID 33555448›Full record

ArticleObesity surgery2021

C Peptide Fails to Improve the Utility of the DiaRem Algorithm in Predicting Remission of Type II Diabetes After Bariatric Surgery.

Richard L Seip, Tara McLaughlin, Madison O'Brien, Ilene Staff, Aashish Samat, Devika Umashanker, Darren Tishler, Pavlos K Papasavas

Abstract read
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In one paragraph

Article in Obesity surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 98% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 institution in 1 country.

Richard L SeipHartford Healthcare Surgical Weight Loss Center, Hartford, CT, 06102, USA.
Tara McLaughlinHartford Healthcare Surgical Weight Loss Center, Hartford, CT, 06102, USA.ORCID http://orcid.org/0000-0001-9841-9843
Madison O'BrienHartford Healthcare Surgical Weight Loss Center, Hartford, CT, 06102, USA.
Ilene StaffHartford Healthcare Research Program, Hartford, CT, 06102, USA.
Aashish SamatHartford Healthcare Medical Group, Farmington, CT, 06032, USA.
Devika UmashankerHartford Healthcare Surgical Weight Loss Center, Hartford, CT, 06102, USA.
Darren TishlerHartford Healthcare Surgical Weight Loss Center, Hartford, CT, 06102, USA.
Pavlos K PapasavasHartford Healthcare Surgical Weight Loss Center, Hartford, CT, 06102, USA. Pavlos.papasavas@hhchealth.org.
Hartford Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We evaluated the utility of C peptide as an addition to the DiaRem score for predicting type 2 diabetes (T2D) remission 1 year after bariatric surgery in 175 patients. DiaRem score was significantly correlated with C peptide (r = - .43; p < .001). Both DiaRem and C peptide were significant predictors of remission of T2D (OR (95% CI) = .81 (.75-.86); p < 0001 and OR (95% CI) = 1.35 (1.15-1.60); p < .001, respectively). ROC analysis indicated that DiaRem was a significantly stronger predictor than C peptide (p < .001). Hierarchical regression indicated that C peptide failed to significantly improve the prediction of diabetes remission after accounting for DiaRem (OR (95% CI) = 1.079 (.87-1.26); p = .406). This study does not support the inclusion of C peptide in the DiaRem algorithm.

Indexed as

Bariatric SurgeryDiabetes Mellitus, Type 2Gastric BypassObesity, MorbidAlgorithmsC-PeptideHumansRemission InductionRetrospective StudiesTreatment OutcomeC-PeptideDiabetesDiaRemGastric bandingGastric bypassSleeve gastrectomy

Identifiers

PMID33555448
OpenAlexW3127900651

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.