Evidence map›Paper›PMID 34269901›Full record

ReviewCurrent cardiology reports2021

A Clinico-Pathologic Approach to the Differential Diagnosis of Pericardial Tumors.

Alison R Krywanczyk, Carmela D Tan, E Rene Rodriguez

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current cardiology reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Pericardial paraganglioma detected with contrast-enhanced CT, MRI, andJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  5. Article
  6. Article
  7. 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

3 authors at 1 institution in 1 country.

Alison R KrywanczykDepartment of Pathology, The Cleveland Clinic, 9500 Euclid Avenue/Desk L25, Cleveland, Ohio, 44195, USA. krywana@ccf.org.ORCID http://orcid.org/0000-0001-9316-866X
Carmela D TanDepartment of Pathology, The Cleveland Clinic, 9500 Euclid Avenue/Desk L25, Cleveland, Ohio, 44195, USA.
E Rene RodriguezDepartment of Pathology, The Cleveland Clinic, 9500 Euclid Avenue/Desk L25, Cleveland, Ohio, 44195, USA.
Cleveland Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewTumors of the pericardium are rare, but a wide variety of congenital, infectious, inflammatory, and neoplastic processes have been reported. Pericardial tumors can be categorized as non-neoplastic or neoplastic. Neoplastic lesions can be further divided into benign or malignant, with malignancies being either primary or secondary (metastatic). Clinical, radiographic, and pathologic features of the most common entities are discussed. RECENT

findingsMetastatic neoplasms involving the heart and pericardium are far more common than primary pericardial neoplasms. Of primary pericardial malignancies, mesothelioma is the most common; notably, cytology of effusion fluid is relatively insensitive to the diagnosis. The prognosis for most malignancies of the pericardium, primary or secondary, is poor. Increasingly, clinically recognized diseases that involve the pericardium include Erdheim-Chester and IgG4-related disease. This article provides a comprehensive review of the most recent literature to develop a structured framework to the differential diagnosis of pericardial tumors.

Indexed as

Heart NeoplasmsMesotheliomaMesothelioma, MalignantDiagnosis, DifferentialHumansPericardiumPericardial effusionPericardial massPericardial tumorPericardiumPericardium metastasis

Identifiers

PMID34269901
OpenAlexW3182744758

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.