Evidence map›Paper›PMID 33271740›Full record

ArticleJournal of clinical medicine2020

Metabolomic Profiles Predict Diabetes Remission after Bariatric Surgery.

Jane Ha, Mi Jang, Yeongkeun Kwon, Young Suk Park, Do Joong Park, Joo-Ho Lee, Hyuk-Joon Lee, Tae Kyung Ha, Yong-Jin Kim, Sang-Moon Han and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

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  7. Nonalcoholic fatty liver disease and diabetes.World journal of diabetes · 2022
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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

13 authors at 8 institutions in 2 countries.

Jane HaDepartment of Medicine, Korea University College of Medicine, Seoul 02841, Korea.
Mi JangDepartment of Biotechnology and Food Science, Norwegian University of Science and Technology, 7491 Trondheim, Norway.
Yeongkeun KwonDivision of Foregut Surgery, Korea University College of Medicine, Seoul 02841, Korea.
Young Suk ParkDepartment of Surgery, Seoul National University Bundang Hospital, Seongnam 13620, Korea.ORCID 0000-0002-6352-9759
Do Joong ParkDepartment of Surgery, Seoul National University Hospital, Seoul 03080, Korea.
Joo-Ho LeeDepartment of Surgery, Nowon Eulji Medical Center, Seoul 01830, Korea.
Hyuk-Joon LeeDepartment of Surgery, Seoul National University Hospital, Seoul 03080, Korea.ORCID 0000-0002-9530-647X
Tae Kyung HaDepartment of Surgery, Hanyang University College of Medicine, Seoul 04763, Korea.ORCID 0000-0001-7320-5507
Yong-Jin KimDepartment of Surgery, H+ Yangji Hospital, Seoul 08779, Korea.
Sang-Moon HanDepartment of Surgery, Cheil General Hospital, Seoul 04619, Korea.
Sang-Uk HanDepartment of Surgery, Ajou University Hospital, Suwon 16499, Korea.
Yoonseok HeoDepartment of Surgery, Inha University Hospital, Incheon 22332, Korea.
Sungsoo ParkDivision of Foregut Surgery, Korea University College of Medicine, Seoul 02841, Korea.
Korea University · KRAjou University Hospital · KRSeoul National University Hospital · KREulji Medical Center · KRHanyang University · KRInha University Hospital · KRNorwegian University of Science and Technology · NOSeoul National University Bundang Hospital · KR

Funding

Ministry of Health & Welfare, Republic of Korea HC15C1322
6 · The paper itself

Abstract

backgroundAmino acid metabolites (AAMs) have been linked to glucose homeostasis and type 2 diabetes (T2D). We investigated whether (1) baseline AAMs predict T2D remission 12 months after bariatric surgery and (2) whether AAMs are superior for predicting T2D remission postoperatively compared with existing prediction models.

methodsAmong 24 participants undergoing bariatric surgery, 16 diabetes-related AAMs were quantified at baseline and postoperative 3 and 12 months. Existing prediction models included the ABCD, DiaRem, and IMS models.

resultsBaseline L-dihydroxyphenylalanine (L-DOPA) (areas under receiver operating characteristic curves (AUROC), 0.92; 95% confidence interval (CI), 0.75 to 1.00) and 3-hydroxyanthranilic acid (3-HAA) (AUROC, 0.85; 95% CI, 0.67 to 1.00) better predicted T2D remission 12 months postoperatively than the ABCD model (AUROC, 0.81; 95% CI, 0.54 to 1.00), which presented the highest AUROC value among the three models. The superior prognostic performance of L-DOPA (AUROC at 3 months, 0.97; 95% CI, 0.91 to 1.00) and 3-HAA (AUROC at 3 months, 0.86; 95% CI, 0.63 to 1.00) continued until 3 months postoperatively.

conclusionsThe AAM profile predicts T2D remission after bariatric surgery more effectively than the existing prediction models.

Indexed as

amino acidbariatric surgerydiabetesmetabolic surgerymetabolomics

Identifiers

PMID33271740
PMCPMC7760750
OpenAlexW3108460788

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.