Evidence map›Paper›PMID 39109005›Full record

ArticleWorld journal of clinical cases2024

Efficacy and prognostic analysis of carbon nanotracers combined with the da Vinci robot in the treatment of esophageal cancer.

Fen-Qiang Qi, Yan Sun

Abstract read
In one paragraph

Article in World journal of clinical cases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Fen-Qiang QiCardiothoracic Surgery, The fourth affiliated hospital of Guangxi medical university/Liuzhou workers hospital, Liuzhou 545005, Guangxi Zhuang Autonomous Region, China.
Yan SunCardiothoracic Surgery, The fourth affiliated hospital of Guangxi medical university/Liuzhou workers hospital, Liuzhou 545005, Guangxi Zhuang Autonomous Region, China. qifenqiang@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTraditional methods cannot clearly visualize esophageal cancer (EC) tumor contours and metastases, which limits the clinical application of da Vinci robot-assisted surgery.

aimTo investigate the efficacy of the da Vinci robot in combination with nanocarbon lymph node tracers in radical surgery of EC.

methodsIn total, 104 patients with early-stage EC who were admitted to Liuzhou worker's Hospital from January 2020 to June 2023 were enrolled. The patients were assigned to an observation group (

resultsCompared with the control group, the observation group had significantly lower postoperative CRP, cortisol, and E levels (

conclusionThe treatment of EC using the da Vinci robot combined with nanocarbon lymph node tracers can achieve good surgical outcomes and demonstrates promising clinical applications.

Indexed as

Clinical efficacyDa Vinci robotEsophageal cancerMinimally invasive esophagectomyNanocarbon tracerPrognostic

Identifiers

PMID39109005
PMCPMC11238817

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.