Evidence map›Paper›PMID 39493268›Full record

ArticleFrontiers in surgery2024

Impact of pleural reconstruction on postoperative outcomes in rib tumor resection: a decade-long retrospective study.

Hao Xie, Bowen Li, Yixin Sun, Lin Ma, Qiang Zhang

Abstract read
In one paragraph

Article in Frontiers in surgery, 2024. 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

5 authors.

Hao XieDepartment of Thoracic Surgery, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.
Bowen LiDepartment of Thoracic Surgery, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.
Yixin SunDepartment of Thoracic Surgery, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.
Lin MaDepartment of Thoracic Surgery, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.
Qiang ZhangDepartment of Thoracic Surgery, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to evaluate the effects of pleural reconstruction during rib compartment tumor resection surgery on postoperative outcomes, including drainage volume, drainage duration, hospital stay, complications, and pain control. Methods: A retrospective analysis was conducted on 142 patients who underwent rib compartment tumor resection surgery at Beijing Jishuitan Hospital from January 2013 to October 2023. The patients were divided into two groups: those who received pleural reconstruction and those who did not. Data were collected from hospital medical records and outpatient care records, focusing on postoperative drainage volume, total drainage time, length of hospital stay, complications, and pain scores. Continuous variables were compared using Results: The analysis showed no significant differences between the two groups in terms of postoperative complications and pain thresholds. However, patients who underwent pleural reconstruction had significantly lower postoperative drainage volume (937.74 ± 855.97 vs. 1,595.26 ± 1,054.50 ml, Conclusion: Pleural reconstruction during rib compartment tumor resection surgery reduces postoperative drainage volume, drainage duration, and hospital stay without increasing complications or short-term pain. Further large-scale studies are recommended to validate these findings.

Indexed as

hospital staypleural reconstructionpostoperative complicationspostoperative drainagerib compartment tumor resection

Identifiers

PMID39493268
PMCPMC11527709

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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.