Evidence map›Paper›PMID 36245587›Full record

ArticleJournal of thoracic disease2022

3D localization based on anatomical LANDmarks in the treatment of pulmonary nodules.

Dazhi Pang, Guangqiang Shao, Jitian Zhang, Jinglong Li, Hongxia Wang, Taiyang Liuru, Zhihai Liu, Yanan Liang

Open access · diamondAbstract read
In one paragraph

Article in Journal of thoracic disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.8field-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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. 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

8 authors at 2 institutions in 2 countries.

Dazhi Pang *Division of Thoracic Surgery, Department of Surgery, the University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
Guangqiang Shao *Division of Thoracic Surgery, Department of Surgery, the University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
Jitian ZhangDivision of Thoracic Surgery, Department of Surgery, the University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
Jinglong LiDivision of Thoracic Surgery, Department of Surgery, the University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
Hongxia WangDivision of Respiratory and Critical Care Medicine, the University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
Taiyang LiuruDivision of Thoracic Surgery, Department of Surgery, the University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
Zhihai LiuDivision of Thoracic Surgery, Department of Surgery, the University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
Yanan LiangDivision of Thoracic Surgery, Department of Surgery, the University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
University of Hong Kong · HKUniversity of Hong Kong - Shenzhen Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Various methods exist for locating lung nodules, each with its own advantages and disadvantages. Aiming to find a more accurate, safe, effective, economical and practical method for locating lung nodules, this study evaluated the safety and feasibility of a precise three-dimensional (3D) method for positioning small pulmonary nodules based on anatomical landmarks. Methods: From June 2019 to December 2021, 120 patients with 131 pulmonary nodules who underwent video-assisted thoracoscopic surgery at the University of Hong Kong-Shenzhen Hospital were included in the study. Surgical data such as the positioning time, accuracy rate, pathological result, localization-related complication rate and length of postoperative hospital stay were retrospectively reviewed and analyzed. During surgery, pulmonary nodules were accurately located by the 3D positioning method based on anatomical landmarks and then removed to determine the pathology. Results: A total of 120 patients, including 35 males and 85 females, were included, and the median age was 53 years [interquartile range (IQR), 41-63 years]. No mortality or major morbidity occurred within 30 days. The median localization time was 11 minutes (IQR, 8-14 minutes). The accuracy of localization was 98.5%. The median diameter of the pulmonary nodules was 8 mm (IQR, 7-13 mm), and the median distance from the visceral pleura was 6 mm (IQR, 2-10 mm). No location-related complications occurred. The median length of postoperative hospital stay was 5 days (IQR, 3-7 days). Conclusions: The proposed positioning method is accurate, safe and feasible for selected patients with pulmonary nodules. Compared with other preoperative and intraoperative positioning methods, it can significantly reduce localization-related complications.

Indexed as

anatomical landmarkPrecise 3D positioning methodpulmonary nodulevideo-assisted thoracoscopic surgery

Identifiers

PMID36245587
PMCPMC9562508
OpenAlexW4292683537

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.