Evidence map›Paper›PMID 39281216›Full record

ArticlePakistan journal of medical sciences2024

Retrospective cohort study of video-assisted thoracoscopic precise positioning reduction and internal fixation and thoracotomy reduction and internal fixation in treating multiple rib fractures.

Jinlong Shi, Jing Liu

Abstract read
In one paragraph

Article in Pakistan journal of medical sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Jinlong ShiJinlong Shi Department of Cardio-Thoracic Surgery, The First People's Hospital of Jingzhou, Jingzhou Hubei 434000, China.
Jing LiuJing Liu Department of Cardio-Thoracic Surgery, The First Affiliated Hospital of Yangtze University, The Second Hospital of Jingzhou, Jingzhou Hubei 434000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to assess the clinical effect of video-assisted thoracoscopic precise positioning reduction and internal fixation and thoracotomy reduction and internal fixation in the therapy of multiple rib fractures. Methods: A total of 80 patients with multiple rib fractures in First People's Hospital of Jingzhou from January 2021 to December 2022 were separated into control group (CG, 40 cases) and research group (RG, 40 cases) by random number table method. Patients in the CG received thoracotomy reduction and internal fixation. Patients in the RG received video-assisted thoracoscopic precise positioning reduction and internal fixation. Surgery-related indexes, serum interleukin, visual analogue scale (VAS) was used to evaluate postoperative pain, arterial oxygen saturation (SaO2) and oxygenation index (PaO2/FiO2), and pulmonary function indexes were measured in the two groups. Results: After surgery, Visual analog scale (VAS) scores at 24 hour after surgery were reduced compared to six hour and 12 hour after surgery (P<0.05). VAS score at 12 hour after surgery was increased relative to 6 h after surgery (P<0.05), and VAS score at six hour, 12 hour as well as 24 hour after surgery in the RG was lessened in comparison with the CG (P<0.05). One day after surgery, SaO Conclusion: Compared with thoracotomy reduction and internal fixation, video-assisted thoracoscopic accurate positioning and internal fixation in treating patients with multiple rib fractures had a short treatment time, obvious advantages, and strong feasibility.

Indexed as

InterleukinInternal fixationPostoperative recoveryRib fractureVideo-assisted thoracoscopic

Identifiers

PMID39281216
PMCPMC11395377

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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.