Evidence map›Paper›PMID 33183251›Full record

ArticleBMC cancer2020

Preoperative AminoIndex Cancer Screening (AICS) abnormalities predict postoperative recurrence in patients undergoing curative resection for non-small cell lung cancer.

Masahiko Higashiyama, Ryohei Miyazaki, Hiroshi Yamamoto, Takashi Anayama, Shinya Kikuchi, Kentaro Hirohashi, Jiro Okami, Tomohiro Maniwa, Toru Kimura, Kazumasa Orihashi and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.1field-weighted citation impact, top 44% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

11 authors at 3 institutions in 1 country.

Masahiko HigashiyamaDepartment of General Thoracic Surgery, Osaka International Cancer Institute, Osaka, Japan. higamasa0719@gmail.com.
Ryohei MiyazakiDivision of Thoracic Surgery, Department of Surgery II, Kochi University School of Medicine, Kochi, Japan.
Hiroshi YamamotoResearch Institute for Bioscience Products & Fine Chemicals, Ajinomoto Co., Inc., Yokohama, Kanagawa, Japan.
Takashi AnayamaDivision of Thoracic Surgery, Department of Surgery II, Kochi University School of Medicine, Kochi, Japan.
Shinya KikuchiResearch Institute for Bioscience Products & Fine Chemicals, Ajinomoto Co., Inc., Yokohama, Kanagawa, Japan.
Kentaro HirohashiDivision of Thoracic Surgery, Department of Surgery II, Kochi University School of Medicine, Kochi, Japan.
Jiro OkamiDepartment of General Thoracic Surgery, Osaka International Cancer Institute, Osaka, Japan.
Tomohiro ManiwaDepartment of General Thoracic Surgery, Osaka International Cancer Institute, Osaka, Japan.
Toru KimuraDepartment of General Thoracic Surgery, Osaka International Cancer Institute, Osaka, Japan.
Kazumasa OrihashiDivision of Thoracic Surgery, Department of Surgery II, Kochi University School of Medicine, Kochi, Japan.
Fumio ImamuraDepartment of Medical Oncology, Osaka International Cancer Institute, Osaka, Japan.
Osaka Medical Center for Cancer and Cardiovascular Diseases · JPKōchi University · JPAjinomoto (Japan) · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAminoIndex™ Cancer Screening (AICS (lung)) was developed as a screening test for lung cancer using a multivariate analysis of plasma-free amino acid (PFAA) profiles. According to the developed index composed of PFAA, the probability of lung cancer was categorized into AICS (lung) ranks A, B, and C in order of increasing risk. The aim of the present study was to investigate the relationship between the preoperative AICS (lung) rank and surgical outcomes in patients who underwent curative resection for non-small cell lung cancer (NSCLC).

methodsPreoperative blood samples were collected from 297 patients who underwent curative resection for NSCLC between 2006 and 2015. PFAA concentrations were measured. The relationship between the preoperative AICS (lung) rank and clinicopathological factors was examined. The effects of the preoperative AICS (lung) rank on postoperative outcomes were also analyzed.

resultsThe AICS (lung) rank was A in 93 patients (31.3%), B in 82 (27.6%), and C in 122 (41.1%). The AICS (lung) rank did not correlate with any clinicopathological factors, except for age. Based on follow-up data (median follow-up period of 6 years), postoperative recurrence was observed in 22 rank A patients (23.7%), 15 rank B (18.3%) and 49 rank C (40.2%). In the univariate analysis, preoperative AICS (lung) rank C was a worse factor of recurrence-free survival (p = 0.0002). The multivariate analysis identified preoperative AICS (lung) rank C (HR: 2.17, p = 0.0005) as a significant predictor of postoperative recurrence, particularly in patients with early-stage disease or adenocarcinoma.

conclusionPreoperative AICS (lung) rank C is a high-risk predictor of postoperative recurrence in patients undergoing curative resection for NSCLC.

Indexed as

Adenocarcinoma of LungAdultAgedAged, 80 and overAmino AcidsBiomarkers, TumorCarcinoma, Non-Small-Cell LungCarcinoma, Squamous CellEarly Detection of CancerFemaleFollow-Up StudiesHumansLung NeoplasmsMaleMiddle AgedNeoplasm Recurrence, LocalAmino AcidsBiomarkers, TumorAICSAICS (lung)Lung cancerNon-small cell lung cancerPrognosisRecurrenceSurgery

Identifiers

PMID33183251
PMCPMC7659101
OpenAlexW3104603023

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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.