Evidence map›Paper›PMID 32347517›Full record

ArticleObesity surgery2020

Utility of Inflammatory Markers in Detection of Perioperative Morbidity After Laparoscopic Sleeve Gastrectomy, Laparoscopic Roux-en-Y Gastric Bypass, and One-Anastomosis Gastric Bypass-Multicenter Study.

Michał Wysocki, Piotr Małczak, Mateusz Wierdak, Maciej Walędziak, Hady Razak Hady, Inna Diemieszczyk, Monika Proczko-Stepaniak, Michał Szymański, Natalia Dowgiałło-Wnukiewicz, Jacek Szeliga and 2 more

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in Obesity surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 3 pooled it
2.2field-weighted citation impact, top 12% 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

17 citing papers in PubMed, 3 syntheses or guidelines pooled it, 20 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

12 authors at 6 institutions in 1 country.

Michał Wysocki2nd Department of General Surgery, Jagiellonian University Medical College, Jakubowskiego 2 St., 30-688, Cracow, Poland.
Piotr Małczak2nd Department of General Surgery, Jagiellonian University Medical College, Jakubowskiego 2 St., 30-688, Cracow, Poland.
Mateusz Wierdak2nd Department of General Surgery, Jagiellonian University Medical College, Jakubowskiego 2 St., 30-688, Cracow, Poland.
Maciej WalędziakDepartment of General, Oncological, Metabolic and Thoracic Surgery, Military Institute of Medicine, Warsaw, Poland.
Hady Razak HadyFirst Department of General and Endocrine Surgery, Medical University of Bialystok, Bialystok, Poland.
Inna DiemieszczykFirst Department of General and Endocrine Surgery, Medical University of Bialystok, Bialystok, Poland.
Monika Proczko-StepaniakDepartment of General, Endocrine and Transplant Surgery, Medical University of Gdańsk, Gdańsk, Poland.
Michał SzymańskiDepartment of General, Endocrine and Transplant Surgery, Medical University of Gdańsk, Gdańsk, Poland.
Natalia Dowgiałło-WnukiewiczDepartment of General, Minimally Invasive and Elderly Surgery, University of Warmia and Mazury, Olsztyn, Poland.
Jacek SzeligaDepartment of General, Gastroenterological, and Oncological Surgery, Collegium Medicum Nicolaus Copernicus University, Torun, Poland.
Michał Pędziwiatr2nd Department of General Surgery, Jagiellonian University Medical College, Jakubowskiego 2 St., 30-688, Cracow, Poland.
Piotr Major2nd Department of General Surgery, Jagiellonian University Medical College, Jakubowskiego 2 St., 30-688, Cracow, Poland. piotr.major@uj.edu.pl.ORCID http://orcid.org/0000-0001-6552-7979
Jagiellonian University · PLGdańsk Medical University · PLMedical University of Białystok · PLNicolaus Copernicus University · PLUniversity of Warmia and Mazury in Olsztyn · PLWojskowy Instytut Medycyny Lotniczej · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe most commonly performed bariatric operations are laparoscopic sleeve gastrectomy (LSG) and bypass surgeries (laparoscopic one-anastomosis gastric bypass (OAGB) and laparoscopic Roux-en-Y gastric bypass (LRYGB)), and predicting perioperative morbidity is crucial for early, safe patient discharge. We aimed to determine whether C-reactive protein (CRP) and white blood count (WBC) measured on the first postoperative day predicts perioperative morbidity in the first 30-days after LSG and bypass surgeries.

methodsWe retrospectively analyzed data for 1400 patients who underwent bariatric surgery in seven bariatric centers from 2014 to 2018. Patients were divided into a complicated group (patients with postoperative complications) and a non-complicated group. We also performed separate analyses for LSG and bypass surgeries.

resultsPatients were 929 women (66%) and 471 men (34%) with a median age of 42 years (range, 35-51 years); 1192 patients underwent LSG (85%), 120 underwent LRYGB (9%), and 80 underwent OAGB (6%). We performed ROC analyses to set cut-off points, followed by multivariate logistic regressions. CRP > 33.32 mg/L increased the odds ratio (OR) of perioperative complications after LSG 2.27 times, while WBC > 12.15 × 10

conclusionEven slightly elevated CRP and WBC on postoperative day 1 should alert surgeons to the potential risk of perioperative morbidity.

Indexed as

Gastric BypassLaparoscopyObesity, MorbidAdultFemaleGastrectomyHumansMaleMiddle AgedMorbidityPostoperative ComplicationsRetrospective StudiesTreatment OutcomeCRPInflammatory markersLaparoscopic Roux-en-Y gastric bypassLaparoscopic sleeve gastrectomyMorbidityMortalityOne-anastomosis gastric bypass

Identifiers

PMID32347517
PMCPMC7305064
OpenAlexW3018751210

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.