Evidence map›Paper›PMID 42117904›Full record

ArticleTurk gogus kalp damar cerrahisi dergisi2026

Best pain management after video-assisted thoracoscopic surgery: A best evidence topic report.

Dilara Gürsoy, Esranur Akpunar, Tevfik İlker Akçam, Ufuk Çağırıcı

Abstract read
In one paragraph

Article in Turk gogus kalp damar cerrahisi dergisi, 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

4 authors.

Dilara GürsoyDepartment of Thoracic Surgery, Ege University Faculty of Medicine, İzmir, Türkiye.ORCID 0000-0002-4561-4589
Esranur AkpunarDepartment of Thoracic Surgery, Ege University Faculty of Medicine, İzmir, Türkiye.ORCID 0000-0003-1904-2617
Tevfik İlker AkçamDepartment of Thoracic Surgery, Ege University Faculty of Medicine, İzmir, Türkiye.ORCID 0000-0001-7108-9469
Ufuk ÇağırıcıDepartment of Thoracic Surgery, Ege University Faculty of Medicine, İzmir, Türkiye.ORCID 0000-0001-7827-793X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A best evidence topic in thoracic surgery was written according to a structured protocol. The clinical question addressed was: "What is the best pain management after video-assisted thoracoscopic surgery (VATS)"? The literature search identified a total of 485 papers, of which 10 studies were selected as providing the strongest evidence to answer the clinical question. These included 4 meta-analyses, 6 randomized controlled trials. The selected studies are presented in tabular form, summarizing the author, year of publication, journal, country of origin, study design, patient population, relevant outcomes, and key findings. Serratus anterior plane block has emerged as a promising analgesic method for VATS, demonstrating effectiveness in relieving postoperative pain, reducing opioid consumption, and decreasing the incidence of postoperative nausea and vomiting. Thoracic epidural analgesia, although historically regarded as the gold standard for pain management, does not demonstrate a clear superiority based on current evidence. Thoracic paravertebral block is considered a superior regional analgesic option in thoracic surgery, and its combination with other techniques may further enhance postoperative pain control after VATS. Additionally, intravenous dexamethasone, when added to VATS protocols, may reduce opioid consumption and promote early mobilization.

Indexed as

best evidence topicPain managementvideo-assisted thoracoscopic surgery

Identifiers

PMID42117904
PMCPMC13658980

What OpenQuestion holds

Textmetadata
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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.