Evidence map›Paper›PMID 31568496›Full record

SynthesisPloS one2019

Clinical features of pulmonary embolism in patients with lung cancer: A meta-analysis.

Xin Hua, Shu-Hua Han, Shu-Zhen Wei, Ying Wu, Jun Sha, Xiao-Li Zhu

Abstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Pulmonary embolism: A warning sign of occult malignancy.Journal of the Chinese Medical Association : JCMA · 2020
    Article
  8. Clinical Characteristics and Risk Factors of Patients with Lung Cancer Complicated with Pulmonary Embolism: A Case Control Study.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Article
  9. Derivation and External Validation of a Risk Prediction Model for Pulmonary Embolism in Patients With Lung Cancer: A Large Retrospective Cohort Study.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    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

6 authors.

Xin HuaDepartment of Respiratory, Zhongda Hospital, Southeast University, Nanjing, Jiangsu, China.
Shu-Hua HanDepartment of Respiratory, Zhongda Hospital, Southeast University, Nanjing, Jiangsu, China.
Shu-Zhen WeiDepartment of Respiratory, Zhongda Hospital, Southeast University, Nanjing, Jiangsu, China.
Ying WuDepartment of Respiratory, Zhongda Hospital, Southeast University, Nanjing, Jiangsu, China.
Jun ShaDepartment of Respiratory, Zhongda Hospital, Southeast University, Nanjing, Jiangsu, China.
Xiao-Li ZhuDepartment of Respiratory, Zhongda Hospital, Southeast University, Nanjing, Jiangsu, China.ORCID 0000-0001-5665-8301

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPulmonary embolism (PE) is correlated with increased mortality among patients with lung cancer (LC). The characteristics of patients with LC presenting with PE have not been fully established, and our meta-analysis aims to comprehensively investigate the clinical characteristics associated with PE in patients with LC to help physicians identify PE earlier in these patients.

methodsMultiple databases were searched, including PubMed, EMBASE, Cochrane Library, China National Knowledge Infrastructure and Wanfang. Odds ratios (ORs) and weighted mean differences (WMDs) with 95% confidence intervals (95% CIs) were used as effect measures for dichotomous and continuous variables, respectively. Moreover, Egger's test, Begg's test and a sensitivity analysis were performed to assess the publication bias and reliability of the articles.

resultsIn total, 16 studies were included in our meta-analysis. The results indicated that history of chronic obstructive pulmonary disease (OR = 2.59, 95% CI: 1.09, 6.15; P = 0.03), adenocarcinoma (OR = 2.28, 95% CI: 1.88, 2.77; P < 0.01), advanced tumour stage (TNM III-IV vs. I-II, OR = 2.38, 95% CI: 1.99, 2.86; P < 0.01), history of central venous catheter (OR = 1.95, 95% CI: 1.36, 2.78; P < 0.01), history of chemotherapy (OR = 2.32, 95% CI: 1.80, 2.99, P < 0.01), high levels of D-dimer (WMD = 4.31, 95% CI: 2.53, 6.10; P < 0.01) and carcinoembryonic antigen (WMD = 10.30, 95% CI: 9.95, 10.64; P < 0.01) and a low level of partial pressure of oxygen (WMD = -25.97, 95% CI: -31.31, -20.62; P < 0.01) were clinical features of LC patients with PE compared to those without PE.

conclusionsThese results reveal that LC patients with PE have specific clinical features, including but not limited to several cancer- and treatment-related factors, that may help their early identification.

Indexed as

Adenocarcinoma of LungAntineoplastic AgentsCarcinoembryonic AntigenCarcinoma, BronchogenicCentral Venous CathetersFibrin Fibrinogen Degradation ProductsHumansLung NeoplasmsNeoplasm StagingOdds RatioOxygenPartial PressurePulmonary Disease, Chronic ObstructivePulmonary EmbolismRisk FactorsAntineoplastic AgentsCarcinoembryonic AntigenFibrin Fibrinogen Degradation Productsfibrin fragment DOxygen

Identifiers

PMID31568496
PMCPMC6768482

What OpenQuestion holds

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LicenceCC BY
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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.