Evidence map›Paper›PMID 30280434›Full record

ArticleJournal of clinical laboratory analysis2019

Application of Six Sigma for evaluating the analytical quality of tumor marker assays.

Qian Liu, Mei Fu, Fumeng Yang, Wei Liang, Chuanxi Yang, Wenjun Zhu, Liming Ma, Changxin Zhao

Abstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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.

Qian LiuDepartment of Medicine Laboratory, The Second People's Hospital of Lianyungang, Lianyungang, China.
Mei FuDepartment of Medicine Laboratory, The Second People's Hospital of Lianyungang, Lianyungang, China.
Fumeng YangDepartment of Medicine Laboratory, The Second People's Hospital of Lianyungang, Lianyungang, China.
Wei LiangDepartment of Medicine Laboratory, The Second People's Hospital of Lianyungang, Lianyungang, China.
Chuanxi YangDepartment of Cardiology, Jiangsu Province Hospital, Medical School of Southeast University, Nanjing, China.ORCID http://orcid.org/0000-0002-6970-1214
Wenjun ZhuDepartment of Medicine Laboratory, The Second People's Hospital of Lianyungang, Lianyungang, China.
Liming MaDepartment of Medicine Laboratory, The Second People's Hospital of Lianyungang, Lianyungang, China.
Changxin ZhaoDepartment of Medicine Laboratory, The Second People's Hospital of Lianyungang, Lianyungang, China.

Funding

fund in the growth of young talents in Lianyungang Second People's Hospital TQ201709
6 · The paper itself

Abstract

contextThe results of detection assays for the same specimen are usually quite different in different laboratories or when tested with different detection systems.

objectiveThis study was designed to investigate the value of applying sigma metrics derived from different standards for allowable total error (TEa) in evaluating the analytical quality of tumor marker assays.

methodsAssays were evaluated for these six tumor markers: total prostate-specific antigen (tPSA), carcinoembryonic antigen (CEA), alpha-fetoprotein (AFP), carbohydrate antigen 199 (CA199), carbohydrate antigen 125 (CA125), and carbohydrate antigen 153 (CA153). Sigma values were calculated for two concentrations of quality control products to assess differences in quality of tumor marker assays. Improvement measures were recommended according to the quality goal index, and appropriate quality control rules were selected according to the sigma value.

resultsThe sigma value was highest using the higher biological variation-derived "appropriate" TEa standard: it was sigma ≥6 or higher in 16.7% of tumor markers. Sigma was below 6 for all tumor markers using the other three TEa. CEA, AFP, CA199, CA125, and CA153 required improved precision. The marker tPSA required improve precision and accuracy. According to sigma values by using China's external quality assessment standards, CEA, AFP, CA125, and CA153 require 1

conclusionSix Sigma is useful for evaluating performance of tumor markers assays and has important application value in the quality control of these assays.

Indexed as

alpha-FetoproteinsBiomarkers, TumorCA-125 AntigenCarcinoembryonic AntigenChinaHumansReproducibility of ResultsTotal Quality Managementalpha-FetoproteinsBiomarkers, TumorCA-125 AntigenCarcinoembryonic Antigenallowable total errorquality control rulessigma metricstumor marker

Identifiers

PMID30280434
PMCPMC6585744

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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.