Evidence map›Paper›PMID 32557077›Full record

SynthesisGeneral thoracic and cardiovascular surgery2020

Diagnostic accuracy of sentinel lymph node biopsy using indocyanine green in lung cancer: a systematic review and meta-analysis.

Warren Y L Sun, Jerry T Dang, Aryan Modasi, Awrad Nasralla, Noah J Switzer, Daniel Birch, Simon R Turner, Shahzeer Karmali

Registry-linked trialAbstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in General thoracic and cardiovascular surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05555199 (Injection of 99mTc-nanocolloid and ICG to Identify, Retrieve and Qualify Tumor Draining Lymph Nodes in Early-stage Lung Cancer), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 14% 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.

NCT05555199 nacompletednot on this mapstarted 2022, after this paper: background citation

Injection of 99mTc-nanocolloid and ICG to Identify, Retrieve and Qualify Tumor Draining Lymph Nodes in Early-stage Lung Cancer

TypeinterventionalSponsorRadboud University Medical CenterRan2022 to 2024Enrolled72ConditionsEarly-stage Lung CancerArms99mTc-nanocolloid, ICG
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Review
  3. Journal of thoracic disease · 2023
    Article
  4. Postmortem fluorescence angiography of the explanted human heart.International journal of legal medicine · 2022
    Article
  5. Article
  6. 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 1 institution in 1 country.

Warren Y L SunDivision of General Surgery, Walter C. Mackenzie Health Sciences Centre, University of Alberta, 8440 - 112 ST NW, Edmonton, AB, 2G2 T6G 2B7, Canada. warrensun@ualberta.ca.ORCID http://orcid.org/0000-0001-5745-5784
Jerry T DangDivision of General Surgery, Walter C. Mackenzie Health Sciences Centre, University of Alberta, 8440 - 112 ST NW, Edmonton, AB, 2G2 T6G 2B7, Canada.
Aryan ModasiCentre for Advancement of Surgical Education and Simulation, Edmonton, AB, Canada.
Awrad NasrallaDivision of General Surgery, Walter C. Mackenzie Health Sciences Centre, University of Alberta, 8440 - 112 ST NW, Edmonton, AB, 2G2 T6G 2B7, Canada.
Noah J SwitzerDivision of General Surgery, Walter C. Mackenzie Health Sciences Centre, University of Alberta, 8440 - 112 ST NW, Edmonton, AB, 2G2 T6G 2B7, Canada.
Daniel BirchDivision of General Surgery, Walter C. Mackenzie Health Sciences Centre, University of Alberta, 8440 - 112 ST NW, Edmonton, AB, 2G2 T6G 2B7, Canada.
Simon R TurnerDivision of Thoracic Surgery, University of Alberta, Edmonton, AB, Canada.
Shahzeer KarmaliDivision of General Surgery, Walter C. Mackenzie Health Sciences Centre, University of Alberta, 8440 - 112 ST NW, Edmonton, AB, 2G2 T6G 2B7, Canada.
University of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe use of sentinel lymph node biopsy (SLNB) has been gaining popularity with the emergence of indocyanine green (ICG) fluorescence imaging. We aimed to systematically review the literature and perform a meta-analysis on the diagnostic accuracy of SLNB using ICG for lung cancer.

methodsA comprehensive search of MEDLINE, EMBASE, SCOPUS, Web of Science, and the Cochrane Library using search terms "lung/pulmonary" AND "tumor/carcinoma/cancer/neoplasm/adenocarcinoma/malignancy/squamous/carcinoid" AND "indocyanine green" was completed in June 2018. Articles were selected based on the following inclusion criteria: (1) diagnostic accuracy study design; (2) ICG injected at the tumor site with near-infrared fluorescence imaging identification of sentinel lymph nodes; (3) lymphadenectomy or sampling was performed as the gold standard.

resultsEight primary studies were included with a total of 366 patients. 43.0% of patients were females and the mean tumor size was 2.3 cm. Sentinel lymph nodes were identified with ICG in 251 patients, yielding a pooled identification rate of 0.83 (0.67-0.94). A meta-analysis of seven studies computed a diagnostic odds ratio, sensitivity, and specificity of 177.6 (45.6-691.1), 0.85 (0.71-0.94), and 1.00 (0.98-1.00), respectively. The summary receiver operator characteristic demonstrated an area under the curve of 0.963 (SE = 0.038) and a Q* of 0.91 (SE = 0.057).

conclusionOur review found suboptimal results for the diagnostic accuracy of SLNB using ICG and must be improved before routine clinical use. Further research is required to develop a robust protocol for the use SLNB with ICG for lung cancer.

Indexed as

AdenocarcinomaArea Under CurveCarcinoma, Squamous CellColoring AgentsFluorescenceHumansIndocyanine GreenLung NeoplasmsLymphatic MetastasisLymph Node ExcisionOptical ImagingROC CurveSentinel Lymph NodeSentinel Lymph Node BiopsyColoring AgentsIndocyanine GreenIndocyanine greenLung cancerSentinel lymph node

Identifiers

PMID32557077
OpenAlexW3035874410

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.