Evidence map›Paper›PMID 42705854›Full record

ReviewZhongguo fei ai za zhi = Chinese journal of lung cancer2026

[Digital Drainage Systems in Postoperative Chest Tube Management
after Pulmonary Resection: Current Status and Future Perspectives].

Yizhe Wang, Hongru Shen, Jing Kang, Mohan Sun, Yong Cui, Peihao Wang

Abstract readReviewEnglish Abstract
In one paragraph

Review in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 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

6 authors.

Yizhe WangDepartment of Thoracic Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Hongru ShenDepartment of Thoracic Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Jing KangDepartment of Thoracic Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Mohan SunDepartment of Thoracic Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Yong CuiDepartment of Thoracic Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Peihao WangDepartment of Thoracic Surgery, Tangdu Hospital, Air Force Military Medical University, Xi'an 710038, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chest drainage management is an essential component of perioperative care after pulmonary resection, aiming to evacuate intrapleural air and fluid and promote lung re-expansion. However, conventional chest drainage systems mainly rely on manual observation, making continuous and quantitative assessment of air leakage difficult and resulting in subjective decision-making regarding the timing of chest tube removal. In recent years, digital drainage systems (DDS) have been increasingly applied in clinical practice. By using integrated sensors, DDS enables continuous monitoring of pleural pressure, air flow, and fluid drainage, and provides dynamic trend curves, thereby offering objective evidence for chest tube management. DDS may improve the accuracy of drainage assessment and optimize chest tube management strategies; however, its widespread adoption remains influenced by factors such as cost, clinical experience, and healthcare system differences. This review summarizes the current application status, advantages, and challenges of DDS in postoperative chest drainage management after pulmonary resection.
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Indexed as

Chest TubesDrainageLung NeoplasmsPostoperative CareHumansPneumonectomyChest drainageDigital drainage systemEnhanced recovery after surgeryLung neoplasmsPulmonary resection

Identifiers

PMID42705854
PMCPMC13559067

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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.