Evidence map›Paper›PMID 31993738›Full record

ArticlePediatric surgery international2020

Primary spontaneous pneumothorax in children: factors predicting recurrence and contralateral occurrence.

Glenn Yang Han Ng, Shireen Anne Nah, Oon Hoe Teoh, Lin Yin Ong

Abstract read
PubMed Publisher
In one paragraph

Article in Pediatric surgery international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

4 authors at 3 institutions in 2 countries.

Glenn Yang Han NgLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.ORCID http://orcid.org/0000-0002-0913-3235
Shireen Anne NahDepartment of Paediatric Surgery, KK Women's and Children's Hospital, Singapore, Singapore.
Oon Hoe TeohLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Lin Yin OngLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore. ong.lin.yin@singhealth.com.sg.
Nanyang Technological University · SGSingHealth · SGUniversity of Malaya · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe risk factors for recurrence in primary spontaneous pneumothorax (PSP) in children are not well known. We aimed to identify possible risk factors, and to evaluate the utility of computerised tomography (CT) scans in predicting future episodes.

methodsWe reviewed children aged < 18 years admitted to our institution for PSP from 2008 to 2017, excluding those with malignancies. Basic demographic data were extracted. Clinical data collected include pneumothorax laterality, CT results, treatment protocols and recurrences.

results63 patients were included, 19 (30.2%) of whom had CT scans. A total of 41 surgeries were performed. The median (interquartile range) age was 15.4 years (14.9-15.9), and body-mass index was 17.9 kg/m

conclusionThis is the first study demonstrating that surgery at first presentation appears to predict for occurrence of PSP on the contralateral lung. CT appears to be ineffective in detecting blebs and predicting PSP occurrence.

Indexed as

AdolescentFemaleHumansMalePneumothoraxRecurrenceRetrospective StudiesRisk FactorsThoracic Surgery, Video-AssistedTomography, X-Ray Computed

Identifiers

PMID31993738
OpenAlexW3003223589

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.