Evidence map›Paper›PMID 34307441›Full record

ReviewFrontiers in surgery2021

Identifying Lung Cancer Patients Suitable for Segmentectomy: A Brief Review.

Chunguo Wang, Sikai Wu, Rongwei Zhang, Ke Jin, Yicheng Qian, Ning Mao, Yun Liu, Miao Zhang, Ke Zhang, Renfeng Wang and 4 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  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

14 authors.

Chunguo WangKey Laboratory of Minimally Invasive Techniques & Rapid Rehabilitation of Digestive System Tumor of Zhejiang Province, Linhai, China.
Sikai WuKey Laboratory of Minimally Invasive Techniques & Rapid Rehabilitation of Digestive System Tumor of Zhejiang Province, Linhai, China.
Rongwei ZhangDepartment of Emergency, Chinese and Western Combined Hospital of Taizhou Wenlin, Taizhou, China.
Ke JinKey Laboratory of Minimally Invasive Techniques & Rapid Rehabilitation of Digestive System Tumor of Zhejiang Province, Linhai, China.
Yicheng QianKey Laboratory of Minimally Invasive Techniques & Rapid Rehabilitation of Digestive System Tumor of Zhejiang Province, Linhai, China.
Ning MaoDepartment of Cardiothoracic Surgery, Yongchuan Hospital of Chongqing Medical University, Chongqing, China.
Yun LiuDepartment of Cardiothoracic Surgery, The First College of Clinical Medical Science, China Three Gorges University, Yichang, China.
Miao ZhangDepartment of Cardiothoracic Surgery, Xuzhou Central Hospital, Xuzhou, China.
Ke ZhangDepartment of Thoracic Surgery, Affiliated Hospital of Hebei University, Baoding, China.
Renfeng WangDepartment of Thoracic Surgery, Xiamen Branch, Zhongshan Hospital, Fudan University, Xiamen, China.
Gang HuangDepartment of ThoracicSurgery, The Third Hospital of Hebei Medical University, Shijiazhuang, China.
Min ZhangDepartment of Cardiothoracic Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Baofu ChenKey Laboratory of Minimally Invasive Techniques & Rapid Rehabilitation of Digestive System Tumor of Zhejiang Province, Linhai, China.
Jianfei ShenKey Laboratory of Minimally Invasive Techniques & Rapid Rehabilitation of Digestive System Tumor of Zhejiang Province, Linhai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

indicationslung cancerNSCLCsegmentectomythoracoscopy

Identifiers

PMID34307441
PMCPMC8295684

What OpenQuestion holds

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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.