Evidence map›Paper›PMID 29559879›Full record

ArticleOchsner journal2018

Polyarteritis Nodosa in Pregnancy.

Laura Damian, Cristina Pamfil, Marius Fodor, Liliana Rogojan, Natalia Hagau, Simona Rednic

Open access · greenAbstract readCase Reports
In one paragraph

Article in Ochsner journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Pregnancy Outcomes in Systemic Vasculitides.Current rheumatology reports · 2020
    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

6 authors at 1 institution in 1 country.

Laura DamianDepartment of Rheumatology, Emergency Clinical County Hospital, Cluj-Napoca, Romania.
Cristina PamfilCentre for Rare Musculoskeletal Autoimmune and Autoinflammatory Diseases, Cluj-Napoca, Romania.
Marius FodorDepartment of Surgery, Emergency Clinical County Hospital, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Liliana RogojanDepartment of Pathology, Emergency Clinical County Hospital, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Natalia HagauDepartment of Anesthesiology and Intensive Care, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Simona RednicDepartment of Rheumatology, Emergency Clinical County Hospital, Cluj-Napoca, Romania.
Iuliu Hațieganu University of Medicine and Pharmacy · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPolyarteritis nodosa (PAN) is a rare disease that occurs predominantly in middle-aged males; its onset during pregnancy is exceptional. CASE REPORT: We present a case of PAN with peripartum onset in a patient with a twin pregnancy after ovarian stimulation for primary infertility. The pregnancy outcome was good in terms of the children's health. In the case of the mother, however, the presence of nonspecific signs and symptoms, a noncontributory ovarian biopsy, and mimics of a puerperal infection delayed the diagnosis of PAN. The emergence of a tender subcutaneous nodule on the forearm and its histopathologic findings were diagnostic. Treatment with pulse methylprednisolone and intravenous cyclophosphamide resulted in the patient's prompt recovery.

conclusionWe present the case to stress the value of careful physical examination in unveiling the presence of a rare disease.

Indexed as

Polyarteritis nodosapregnancypregnancy outcomevasculitis

Identifiers

PMID29559879
PMCPMC5855434
OpenAlexW2748283886

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.