Evidence map›Paper›PMID 33263053›Full record

ArticleERJ open research2020

Thoracic ultrasound for malignant pleural effusion: a systematic review and meta-analysis.

Akihiro Shiroshita, Sayumi Nozaki, Yu Tanaka, Yan Luo, Yuki Kataoka

Open access · goldAbstract read
In one paragraph

Article in ERJ open research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

16 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
  2. Article
  3. Advances in thoracic ultrasound.The European respiratory journal · 2026
    Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Malignant pleural disease.Breathe (Sheffield, England) · 2023
    Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. 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

5 authors at 3 institutions in 1 country.

Akihiro ShiroshitaDept of Respiratory Medicine, Ichinomiyanishi Hospital, Ichinomiya, Japan.ORCID https://orcid.org/0000-0003-0262-459X
Sayumi NozakiPost Graduate Education Center, Kameda Medical Center, Kamogawa, Japan.
Yu TanakaDept of Pulmonology, Kameda Medical Center, Kamogawa, Japan.
Yan LuoDept of Health Promotion and Human Behavior, Graduate School of Medicine, Kyoto University, Kyoto Japan.
Yuki KataokaDept of Respiratory Medicine, Hyogo Prefectural Amagasaki General Medical Center, Amagasaki, Japan.
Kameda Medical Center · JPHyogo Prefectural Amagasaki General Medical Center · JPKyoto University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This systematic review aimed to evaluate the diagnostic accuracy of thoracic ultrasound in malignant pleural effusion. Articles published until December 2019 in MEDLINE, Embase, the Cochrane Central Register of Controlled Trials and the International Clinical Trials Registry Platform were screened by two authors independently to extract data and evaluate the risks of bias and applicability using the modified Quality Assessment of Diagnostic Accuracy Studies-2 tool. We described the forest plots of each thoracic ultrasound finding. We estimated the pooled sensitivity and specificity of pleural nodularity using the bivariate random-effects model. We included seven articles and found that each thoracic ultrasound finding had low sensitivity. The pooled specificity of pleural nodularity was 96.9% (95% CI 93.2%-98.6%). In conclusion, thoracic ultrasound is not useful in ruling out malignant pleural effusion. Physicians can proceed rigorously to repeat thoracentesis or other invasive procedures when pleural nodularity is detected.

Identifiers

PMID33263053
PMCPMC7682705
OpenAlexW3087168697

What OpenQuestion holds

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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.