Evidence map›Paper›PMID 26273473›Full record

ArticleEndocrinology, diabetes & metabolism case reports2015

The importance of IgG4 in the predictive model of thyroiditis.

Milena S Pandrc, Stanko Petrović, Vanja Kostovski, Marijana Petrović, Miloš Zarić

Open access · goldAbstract read
In one paragraph

Article in Endocrinology, diabetes & metabolism case reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 96% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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

5 authors at 1 institution in 1 country.

Milena S PandrcDepartment of Internal Medicine, Militar Medical Academy , Crnotravska 1711000, Belgrade , Serbia.
Stanko PetrovićDepartment of Gastroenterology, Militar Medical Academy , Crnotravska 1711000, Belgrade , Serbia.
Vanja KostovskiClinic for Thoracic Surgery, Militar Medical Academy , Crnotravska 1711000, Belgrade , Serbia.
Marijana PetrovićDepartment of Nephrology, Militar Medical Academy , Crnotravska 1711000, Belgrade , Serbia.
Miloš ZarićDepartment of Pathology, Militar Medical Academy , Crnotravska 1711000, Belgrade , Serbia.
Military Medical Academy · RS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledImmunoglobulin (Ig)G4-related sclerosing disease (IgG4-RSD) is a new disease entity first proposed with regard to autoimmune pancreatitis. A 67-year-old male patient was examined because of weight loss and an abdominal pain. Based on the clinical characteristics, laboratory parameters and ultrasound features, we identified the diagnosis of the IgG4-related systemic disease (IgG4-RSD), that was confirmed by the histopathological analysis after the biopsy of the head of pancreas. After confirmation, we started with the corticosteroid therapy with a good clinical, biochemical and morphological response. During the previous therapy, the disturbance of glucoregulation appeared, so we had to change the modality of treatment. We decided to add Azathioprine to the therapy in a dose of 150 mg/day. We achieved a stable phase of the disease with IgG 4.37 g/l and IgG4 0.179 g/l, and with no side effects from the therapy. LEARNING POINTS: There are potential clinical applications of identifying subsets of patients with IgG4 thyroiditis (FVHT and Riedel thyroiditis).A trial of immunosuppressive therapy should be included if a resection is deemed inadvisable.In particular, cases of FVHT that mimic malignancy, tissue and serum IgG4 may provide supportive diagnostic information.

Identifiers

PMID26273473
PMCPMC4533277
OpenAlexW1869719358

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.