Evidence map›Paper›PMID 32079308›Full record

ArticleBiomolecules2020

Role of Serum and Urine Biomarkers (PLA

Sadiq Mu'azu Maifata, Rafidah Hod, Fadhlina Zakaria, Fauzah Abd Ghani

RetractedOpen access · goldAbstract readRetracted Publication
In one paragraph

Article in Biomolecules, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Novel Biomarkers in Membranous Nephropathy.Frontiers in immunology · 2022
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 2 countries.

Sadiq Mu'azu MaifataHistopathology Unit, Department of Pathology, Faculty of Medicine and Health Science, Universiti Putra Malaysia, Serdang, Selangor 43400, Malaysia.
Rafidah HodPhysiology Unit, Department of Anatomy, Faculty of Medicine and Health Science, Universiti Putra Malaysia, Serdang, Selangor 43400, Malaysia.
Fadhlina ZakariaNephrology Unit, Department of Medicine, Faculty of Medicine and Health Science, Universiti Putra Malaysia, Serdang, Selangor 43400, Malaysia.
Fauzah Abd GhaniHistopathology Unit, Department of Pathology, Faculty of Medicine and Health Science, Universiti Putra Malaysia, Serdang, Selangor 43400, Malaysia.
Universiti Putra Malaysia · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Differentiating primary and secondary membranous glomerulonephritis (MGN) using biomarkers for MGN is essential in patients' diagnosis, treatment and follow-up. Although biopsy has been the primary tool in making the diagnosis, not all patients can withstand it due to its invasive nature, and it cannot be used to monitor treatment. Hence, there is the need for less invasive or even non-invasive biomarkers for effective diagnosis, treatment monitoring and prognostication. This study aimed at providing an alternative way of differentiating primary and secondary MGN using enzyme-linked immunosorbent assay (ELISA) technique for serum and urine biomarkers (M-type phospholipase A2 receptor (PLA

Indexed as

AdultBiomarkersFemaleGlomerulonephritis, MembranousHumansMaleMiddle AgedPrognosisReceptors, Phospholipase A2Retrospective StudiesThrombospondinsBiomarkersPLA2R1 protein, humanReceptors, Phospholipase A2ThrombospondinsTHSD7A protein, humanmembranous glomerulonephritis (MGN)M-type phospholipase A2 receptor (PLA2R)prognosticationthrombospondin domain-containing protein 7A (THSD7A)

Identifiers

PMID32079308
PMCPMC7072431
OpenAlexW3006208930

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.