Evidence map›Paper›PMID 42221012›Full record

ReviewFrontiers in pediatrics2026

Robotic-assisted thoracic surgery in children with congenital lung disease: advancements, challenges, and future directions.

Masato Kojima

Abstract readReview
In one paragraph

Review in Frontiers in pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Masato KojimaDepartment of Pediatric Surgery, Hiroshima University Hospital, Hiroshima, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Congenital lung disease (CLD), including congenital pulmonary airway malformation and pulmonary sequestration, is increasingly diagnosed with advances in prenatal and postnatal imaging. Video-assisted thoracoscopic surgery (VATS) is widely accepted as the standard minimally invasive approach. Robotic-assisted thoracic surgery (RATS) has emerged as an alternative platform, but its role in pediatric pulmonary resection remains to be defined. Methods: A narrative review was conducted using PubMed from database inception to February 2026. Search terms included "robotic-assisted thoracic surgery," "pediatric," and specific congenital lung anomalies. Clinical studies, comparative cohorts, and case series reporting RATS for pediatric CLD were included. Findings were qualitatively synthesized. Results: Three studies were included, all of which were comparative cohorts. Robotic resections were mainly performed for congenital pulmonary airway malformation and pulmonary sequestration. The youngest reported patient was 6 months old (8 kg). Conversion rates were low (1%-3%), and major intraoperative complications were uncommon. Postoperative recovery was acceptable, with short hospital stays and predominantly minor complications. Comparative analyses showed similar perioperative safety profiles between RATS and VATS, although operative times were generally longer with RATS. Reported advantages of RATS included enhanced three-dimensional visualization, improved instrument articulation, and ergonomic benefits. Conclusions: RATS is a feasible and safe option for selected pediatric patients with CLD. While short-term outcomes are comparable to VATS, clear superiority has not been demonstrated. Prospective multicenter studies and long-term functional evaluation are required to define its role in pediatric thoracic surgery.

Indexed as

congenital lung diseaseminimally invasive surgerypediatricspediatric thoracic surgeryrobotic-assisted thoracic surgery

Identifiers

PMID42221012
PMCPMC13219337

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Registered trials

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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.