Evidence map›Paper›PMID 31297544›Full record

ReviewHerz2020

Management of neoplastic pericardial disease.

J Zhang, Q Zhang, X Chen, N Zhang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Herz, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

4 authors at 1 institution in 1 country.

J ZhangDepartment of Cardiology, the Fourth Affiliated Hospital of Hebei Medical University, 050011, Shijiazhuang, Hebei Province, China.
Q ZhangDepartment of Clinical Medicine, Basic Medical College of Seven Years (2014), Hebei Medical University, 050017, Shijiazhuang, Hebei Province, China.
X ChenDepartment of Clinical Medicine, Basic Medical College of Seven Years (2014), Hebei Medical University, 050017, Shijiazhuang, Hebei Province, China.
N ZhangDepartment of Cardiology, the Fourth Affiliated Hospital of Hebei Medical University, 050011, Shijiazhuang, Hebei Province, China. zhangning127@126.com.ORCID http://orcid.org/0000-0002-7913-9464
Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

At present, there is no accurate and effective method for treating neoplastic pericardial effusion. This study analyzed the current literature on the treatment of neoplastic pericardial effusion to provide advice and guidance for clinical treatment. Surgical treatments include pericardial puncture, extension of catheter drainage, pericardial window, and surgical pericardiotomy. Each surgical procedure has a corresponding indication, and the best treatment is selected according to the patient's specific conditions. Systemic chemotherapy is effective in lymphoma and small cell lung cancer that are sensitive to chemotherapeutic drugs. Although pericardial injection of drugs is effective for pericardial tamponade and recurrent pericardial effusion, these methods can only temporarily relieve symptoms and cannot prolong the life of patients. In recent years, immunotherapy, especially adoptive immunotherapy, has achieved good results in the treatment of neoplastic pericardial effusion, thus providing a novel treatment option for neoplastic pericardial effusion.

Indexed as

Cardiac TamponadeDiseaseNeoplasmsPericardial EffusionDrainageHumansPericardiumCancerImmunotherapyNeoplastic pericardial diseasePericardiumTreatment management

Identifiers

PMID31297544
OpenAlexW2959492086

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.