Evidence map›Paper›PMID 26076021›Full record

SynthesisPloS one2015

Role of Transthoracic Lung Ultrasonography in the Diagnosis of Pulmonary Embolism: A Systematic Review and Meta-Analysis.

Libing Jiang, Yuefeng Ma, Changwei Zhao, Weifeng Shen, Xia Feng, Yongan Xu, Mao Zhang

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Recommendations for Lung Ultrasound in Internal Medicine.Diagnostics (Basel, Switzerland) · 2020
    Guideline
  2. Article
  3. Review
  4. Article
  5. Impact of Bedside Combined Cardiopulmonary Ultrasound on Etiological Diagnosis and Treatment of Acute Respiratory Failure in Critically Ill Patients.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2020
    Article
  6. [Use of lung and pleural ultrasonography in emergency and intensive care medicine].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2019
    Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. The efficacy of bedside chest ultrasound: from accuracy to outcomes.European respiratory review : an official journal of the European Respiratory Society · 2016
    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

7 authors.

Libing JiangDepartment of Emergency Medicine, Second Affiliated Hospital, School of Medicine &Institute of emergency Medicine, Zhejiang University, Hangzhou, China; China Emergency and Critical Care Evidence-based Group, Hangzhou, China.
Yuefeng MaDepartment of Emergency Medicine, Second Affiliated Hospital, School of Medicine &Institute of emergency Medicine, Zhejiang University, Hangzhou, China; China Emergency and Critical Care Evidence-based Group, Hangzhou, China.
Changwei ZhaoDepartment of Emergency Medicine, Second Affiliated Hospital, School of Medicine &Institute of emergency Medicine, Zhejiang University, Hangzhou, China.
Weifeng ShenDepartment of Emergency Medicine, Second Affiliated Hospital, School of Medicine &Institute of emergency Medicine, Zhejiang University, Hangzhou, China.
Xia FengChina Emergency and Critical Care Evidence-based Group, Hangzhou, China; Department of respiration, The Third People's Hospital of Hangzhou,Hangzhou, China.
Yongan XuDepartment of Emergency Medicine, Second Affiliated Hospital, School of Medicine &Institute of emergency Medicine, Zhejiang University, Hangzhou, China.
Mao ZhangDepartment of Emergency Medicine, Second Affiliated Hospital, School of Medicine &Institute of emergency Medicine, Zhejiang University, Hangzhou, China; China Emergency and Critical Care Evidence-based Group, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPulmonary embolism (PE) is a potentially life-threatening condition. Although computed tomography pulmonary angiography (CTPA) is the reference standard for diagnosis, its early diagnosis remains a challenge, and the concerns about the radiation exposures further limit the general use of CTPA. The primary aim of this meta-analysis was to evaluate the overall diagnostic accuracy of transthoracic lung ultrasound (TLS) in the diagnosis of PE.

methodsPubMed, Web of science, OvidSP, ProQuest, EBSCO, Cochrane Library and Clinicaltrial.gov were searched systematically. The quality of included studies was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 tool. The sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR) and hierarchical summary receiver operating characteristic (HSROC) curves were used to examine the TS performance. The Bayes analysis was used to calculate the post-test probability of PE. Publication bias was assessed with Deeks funnel plot.

resultsThe results indicated that the sensitivity, specificity, PLR and NLR were 0.85 (95% confidence interval (CI), 0.78 to 0.90), and 0.83 (95% CI, 0.73 to 0.90). And the DOR and HSROC were 28.82 (95% CI, 17.60 to 47.21), 0.91(95% CI, 0.88, 0.93).

conclusionsThe present meta-analysis suggested that transthoracic lung ultrasonography is helpful in diagnosing pulmonary embolism. Although the application of transthoracic lung ultrasound may change some patients' diagnostic processes, it is inappropriate to generally use transthoracic ultrasonography in diagnosing pulmonary embolism currently.

Indexed as

Bayes TheoremHumansPublication BiasPulmonary EmbolismROC CurveUltrasonography

Identifiers

PMID26076021
PMCPMC4468196

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.