Evidence map›Paper›PMID 28202941›Full record

SynthesisScientific reports2017

Risk of Pleural Recurrence in Early Stage Lung Cancer Patients after Percutaneous Transthoracic Needle Biopsy: A Meta-analysis.

Ting Wang, Lili Luo, Qinghua Zhou

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

13 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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

3 authors at 1 institution in 1 country.

Ting WangLung Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Lili LuoDepartment of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.
Qinghua ZhouLung Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Percutaneous transthoracic needle biopsies (PTNB) are widely used for the diagnosis of a peripheral pulmonary nodules, but the risk of pleural recurrence in lung cancer patients remains undetermined. Our meta-analysis aims to answer the question whether PTNB strategy increases the risk of recurrence. PubMed, EMBASE, The Cochrane Library, and China National Knowledge Infrastructure (CNKI) were searched from inception to January 9, 2016. A total of 1242 patients from 5 studies were included. The results showed that PTNB does not increase risk of total recurrence (Odds Ratio,0.78; 95% CI, 0.53 to 1.15) or pleural recurrence (Odds Ratio,1.58; 95% CI, 0.41 to 6.12) compared with non-PTNB strategies in early stage lung cancer patients. Subgroup analysis showed that PTNB was associated with increased pleural recurrence (Odds Ratio, 10.76; 95% CI, 2.92 to 39.70) in patients with sub-pleural lesions but not in patients without sub-pleural lesions (Odds Ratio, 0.96; 95% CI, 0.24 to 3.89). In conclusion, PTNB should not be recommended in lung cancer patients with sub-pleural lesions. However, PTNB is recommendable to use in other patients without sub-pleural lesions to whom pathological diagnosis is necessary, especially in patients with relevant comorbidities.

Indexed as

HumansImage-Guided BiopsyLungLung NeoplasmsNeoplasm Recurrence, LocalPleural Neoplasms

Identifiers

PMID28202941
PMCPMC5311878
OpenAlexW2587780952

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.