Evidence map›Paper›PMID 33895220›Full record

Trial reportBrazilian journal of anesthesiology (Elsevier)

Individualized positive end-expiratory pressure in patients undergoing thoracoscopic lobectomy: a randomized controlled trial.

Yuying Zhang, Meng Zhang, Xu'an Wang, Gaocheng Shang, Youjing Dong

Open access · diamondAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Brazilian journal of anesthesiology (Elsevier). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 5 pooled it
0.7field-weighted citation impact, top 28% 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

9 citing papers in PubMed, 5 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Pooled it
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  6. Review
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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

5 authors at 1 institution in 1 country.

Yuying ZhangDepartment of Anesthesiology, Shengjing Hospital of China Medical University, Shenyang, China.
Meng ZhangDepartment of Anesthesiology, Shengjing Hospital of China Medical University, Shenyang, China.
Xu'an WangDepartment of Anesthesiology, Shengjing Hospital of China Medical University, Shenyang, China.
Gaocheng ShangDepartment of Anesthesiology, Shengjing Hospital of China Medical University, Shenyang, China.
Youjing DongDepartment of Anesthesiology, Shengjing Hospital of China Medical University, Shenyang, China. Electronic address: dyj1cn@163.com.
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesWith the intensive study of lung protective ventilation strategies, people begin to advocate the individualized application of positive end-expiratory pressure (PEEP). This study investigated the optimal PEEP in patients during one-lung ventilation (OLV) and its effects on pulmonary mechanics and oxygenation.

methodsFifty-eight patients who underwent elective thoracoscopic lobectomy were randomly divided into two groups. Both groups received an alveolar recruitment maneuver (ARM) after OLV. Patients in Group A received optimal PEEP followed by PEEP decremental titration, while Group B received standard 5 cmH

resultsThe optimal PEEP obtained in Group A was 8.8 ± 2.4 cmH

conclusionsOur findings suggest that the individualized PEEP can increase lung compliance, reduce driving pressure, and improve pulmonary oxygenation in patients undergoing thoracoscopic lobectomy, with little effect on hemodynamics.

Indexed as

One-Lung VentilationPositive-Pressure RespirationHumansLung ComplianceRespiratory MechanicsTidal VolumeOxygenationPositive end-expiratory pressureRespiratory mechanicsVideo assisted thoracoscopic surgery

Identifiers

PMID33895220
PMCPMC9373519
OpenAlexW3158787799

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.