Evidence map›Paper›PMID 25032130›Full record

ArticleNephro-urology monthly2014

Urinary prognostic biomarkers in patients with focal segmental glomerulosclerosis.

Shiva Kalantari, Mohsen Nafar, Shiva Samavat, Mostafa Rezaei-Tavirani, Dorothea Rutishauser, Roman Zubarev

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nephro-urology monthly, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
2.3field-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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.

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  4. Urinary Protein and Peptide Markers in Chronic Kidney Disease.International journal of molecular sciences · 2021
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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

6 authors at 3 institutions in 2 countries.

Shiva KalantariDepartment of Basic Sciences, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, IR Iran.
Mohsen NafarDepartment of Nephrology, Shahid Labbafinejad Medical Center, Shahid Beheshti University of Medical Sciences, Tehran, IR Iran ; Urology and Nephrology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, IR Iran ; Chronic Kidney Disease Research Center, Shahid Beheshti University of Medical Sciences, Tehran, IR Iran.
Shiva SamavatDepartment of Nephrology, Shahid Labbafinejad Medical Center, Shahid Beheshti University of Medical Sciences, Tehran, IR Iran ; Urology and Nephrology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, IR Iran ; Chronic Kidney Disease Research Center, Shahid Beheshti University of Medical Sciences, Tehran, IR Iran.
Mostafa Rezaei-TaviraniProteomics Research Center, Shahid Beheshti University of Medical Sciences, Tehran, IR Iran.
Dorothea RutishauserDepartment of Medical Biochemistry and Biophysics, Karolinska Institute, Stockholm, Sweden ; SciLifeLab, Stockholm, Sweden.
Roman ZubarevDepartment of Medical Biochemistry and Biophysics, Karolinska Institute, Stockholm, Sweden ; SciLifeLab, Stockholm, Sweden.
Shahid Beheshti University of Medical Sciences · IRKarolinska Institutet · SEScience for Life Laboratory · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFocal segmental glomerulosclerosis (FSGS) is a type of nephrotic syndrome which is diagnosed by renal biopsy. Degree of the proteinuria, renal dysfunction, histologic findings and the response to therapy are some factors used for evaluating the prognosis of FSGS.

objectivesIn the present study, we attempted to discover some protein candidates for disease prognosis related to glomerular filtration rate (renal dysfunction). PATIENTS AND

methodsUrine samples were collected from ten patients. Urine proteome was extracted and trypsinated. Digested peptides were separated and identified by nano-flow LC-MS/MS. Protein content were determined using label-free quantification method. Protein profiles were analyzed using supervised multivariate statistical method.

resultsOutput of a predictive model was 54 significant proteins of which ribonuclease 2 and haptoglobin had the greatest fold change in terms of overrepresentation and underrepresentation in patients with the best and worse prognosis, respectively. Complement and coagulation cascades were the only significant pathways which were impaired in FSGS.

conclusionsUrinary biomarkers can potentially be used as non-invasive prognostic markers. However these candidate biomarkers need further validation by an alternative method and in a larger cohort.

Indexed as

Complement ActivationRenal DysfunctionRibonuclease, Haptoglobins

Identifiers

PMID25032130
PMCPMC4090581
OpenAlexW2115739924

What OpenQuestion holds

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LicenceCC BY
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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.