Evidence map›Paper›PMID 32565438›Full record

ArticleBMJ case reports2020

Giant cell arteritis manifested by chronic dry cough.

Hiroshi Hori, Tsuyoshi Kobashigawa, Takahiko Fukuchi, Hitoshi Sugawara

Open access · greenAbstract readCase Reports
In one paragraph

Article in BMJ case reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
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

4 authors at 1 institution in 1 country.

Hiroshi HoriDivision of General Medicine, Department of Comprehensive Medicine 1, Saitama Medical Center, Jichi Medical University, Saitama, Japan ubm5134@mbr.nifty.com.ORCID http://orcid.org/0000-0001-9466-2125
Tsuyoshi KobashigawaDivision of Rheumatology, Department of Comprehensive Medicine 1, Saitama Medical Center, Jichi Medical University, Saitama, Japan.
Takahiko FukuchiDivision of General Medicine, Department of Comprehensive Medicine 1, Saitama Medical Center, Jichi Medical University, Saitama, Japan.ORCID http://orcid.org/0000-0001-6192-1653
Hitoshi SugawaraDivision of General Medicine, Department of Comprehensive Medicine 1, Saitama Medical Center, Jichi Medical University, Saitama, Japan.ORCID http://orcid.org/0000-0002-5060-9020
Jichi Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A 77-year-old man visited the hospital with a chronic cough persisting for 2.5 months accompanied with night sweats, weight loss (3.5 kg) and elevated C-reactive protein level. Chest CT of the lung field was normal, but aortic wall thickening accompanied by a contrast effect was noted. Positron emission tomography-CT (PET-CT) showed that the aorta and subclavian artery were inflamed, suggesting large-vessel vasculitis. Ultrasonography showed thickening of the superficial temporal artery wall (macaroni sign). Biopsy revealed lymphocytic infiltration in the tunica media and foreign-body giant cell reaction with the elastic lamina, resulting in a diagnosis of giant cell arteritis (GCA). The cough was considered a symptom of GCA as it resolved following prednisolone administration. Cough may rarely be an initial GCA symptom. However, for chronic cough accompanied with elevated inflammatory findings but with a normal lung field, imaging studies such as PET-CT are useful for the differential diagnosis.

Indexed as

AgedChronic DiseaseCoughDiagnosis, DifferentialGiant Cell ArteritisHumansMaleimmunologyradiologyvasculitis

Identifiers

PMID32565438
PMCPMC7307544
OpenAlexW3036878323

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.