Evidence map›Paper›PMID 25594659›Full record

Trial reportInternational surgery2015

The use of serum uric acid concentration as an indicator of laparoscopic sleeve gastrectomy success.

Evangelos Menenakos, Georgia Doulami, Irene P Tzanetakou, Maria Natoudi, Nikolaos Kokoroskos, Konstantinos Almpanopoulos, Emmanouil Leandros, George Zografos, Dimitrios Theodorou

Open access · bronzeAbstract readClinical Trial
In one paragraph

Trial report in International surgery, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact, top 92% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
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  6. Review
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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

9 authors at 1 institution in 1 country.

Evangelos Menenakos1st Propaedeutic Surgical Department, "Hippokration" General Hospital of Athens, Medical School of Athens, National and Kapodistrian University of Athens, Greece.
Georgia Doulami
Irene P Tzanetakou
Maria Natoudi
Nikolaos Kokoroskos
Konstantinos Almpanopoulos
Emmanouil Leandros
George Zografos
Dimitrios Theodorou
National and Kapodistrian University of Athens · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Laparoscopic sleeve gastrectomy (LSG) effectively reduces weight by restricting gastric capacity and altering gut hormones levels. We designed a prospective study to investigate the correlation of serum uric acid (SUA) concentration and weight loss. SUA and body mass index (BMI) were measured preoperatively and on first postoperative month and year in patients who underwent LSG in our department of bariatric surgery. Data on 55 patients were analyzed. Preoperative SUA concentration had a significant positive correlation with percentage of total weight loss (TWL) on first postoperative month (P = 0.001) and year (P = 0.002). SUA concentration on first postoperative month had a positive correlation with percentage of TWL on first postoperative year (P = 0.004). SUA concentration could be used as a predictor of LSG's success and could help in early detection of patients with rapid loss of weight, in order to prevent complications.

Indexed as

GastrectomyLaparoscopyWeight LossAdolescentAdultBiomarkersFemaleFollow-Up StudiesHumansHyperuricemiaMaleMiddle AgedObesity, MorbidPostoperative PeriodProspective StudiesTreatment OutcomeBiomarkersUric AcidBariatric surgeryMetabolic syndromeUric acidWeight loss

Identifiers

PMID25594659
PMCPMC4301285
OpenAlexW2087182504

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.