Evidence map›Paper›PMID 27340583›Full record

ArticleCase reports in radiology2016

Multisystem Radiologic Manifestations of Erdheim-Chester Disease.

Umairullah Lodhi, Uzair Sarmast, Saadullah Khan, Kavitha Yaddanapudi

Open access · goldAbstract read
In one paragraph

Article in Case reports in radiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
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  4. Article
  5. Review
  6. Role ofThe Indian journal of radiology & imaging · 2021
    Article
  7. Review
  8. Article
  9. Review
  10. "The unpredictable brain tumor".The Indian journal of radiology & imaging
    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.

Umairullah LodhiDepartment of Radiology, Stony Brook University Hospital, 101 Nicolls Road, Stony Brook, NY 11794, USA.
Uzair SarmastDepartment of Radiology, Stony Brook University Hospital, 101 Nicolls Road, Stony Brook, NY 11794, USA.
Saadullah KhanDepartment of Radiology, Stony Brook University Hospital, 101 Nicolls Road, Stony Brook, NY 11794, USA.
Kavitha YaddanapudiDepartment of Radiology, Stony Brook University Hospital, 101 Nicolls Road, Stony Brook, NY 11794, USA.
Stony Brook University Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Erdheim-Chester Disease is a rare form of multiorgan non-Langerhans' cell histiocytosis that affects individuals between the ages of 50 and 70 with an equal distribution among males and females. It is associated with significant morbidity and mortality that is mostly due to infiltration of critical organs. Some of the sites that Erdheim-Chester Disease affects include the skeletal system, central nervous system, cardiovascular system, lungs, kidneys (retroperitoneum), and skin. The most common presenting symptom of Erdheim-Chester Disease is bone pain although a large majority of patients are diagnosed incidentally during a workup for a different disease process. Diagnosing Erdheim-Chester Disease is challenging due its rarity and mimicry to other infiltrative processes. Therefore, a multimodality diagnostic approach is employed with imaging being at the forefront. As of date, a comprehensive radiologic review of the manifestations of Erdheim-Chester Disease has rarely been reported. Here we present radiologic findings of an individual suffering from Erdheim-Chester Disease.

Identifiers

PMID27340583
PMCPMC4906176
OpenAlexW2412136664

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.