Evidence map›Paper›PMID 34366629›Full record

ArticleWorld journal of gastroenterology2021

Han Ah Lee, Yoo Ra Lee, Young-Sun Lee, Young Kul Jung, Ji Hoon Kim, Hyunggin An, Hyung Joon Yim, Yoon Tae Jeen, Jong Eun Yeon, Kwan Soo Byun and 1 more

Open access · hybridAbstract read
In one paragraph

Article in World journal of gastroenterology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  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

11 authors at 1 institution in 1 country.

Han Ah LeeDepartment of Internal Medicine, Korea University College of Medicine, Seoul 02841, South Korea.
Yoo Ra LeeDepartment of Internal Medicine, Korea University College of Medicine, Seoul 02841, South Korea.
Young-Sun LeeDepartment of Internal Medicine, Korea University College of Medicine, Seoul 02841, South Korea.
Young Kul JungDepartment of Internal Medicine, Korea University College of Medicine, Seoul 02841, South Korea.
Ji Hoon KimDepartment of Internal Medicine, Korea University College of Medicine, Seoul 02841, South Korea.
Hyunggin AnDepartment of Biostatistics, Korea University Anam Hospital, Seoul 02841, South Korea.
Hyung Joon YimDepartment of Internal Medicine, Korea University College of Medicine, Seoul 02841, South Korea.
Yoon Tae JeenDepartment of Internal Medicine, Korea University College of Medicine, Seoul 02841, South Korea.
Jong Eun YeonDepartment of Internal Medicine, Korea University College of Medicine, Seoul 02841, South Korea.
Kwan Soo ByunDepartment of Internal Medicine, Korea University College of Medicine, Seoul 02841, South Korea.
Yeon Seok SeoDepartment of Internal Medicine, Korea University College of Medicine, Seoul 02841, South Korea. drseo@korea.ac.kr.
Korea University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiagnostic accuracy of various tumor markers and their combinations for hepatocellular carcinoma (HCC) was not fully investigated.

aimTo evaluate the diagnostic accuracy of alpha-fetoprotein (AFP), the

methodsPatients with newly detected liver mass or elevated serum AFP levels were considered eligible. Serum AFP level, AFP-L3 fraction, and PIVKA-II level were measured at the first visit.

resultsIn total, 622 patients were included; 355 patients (57.1%) had chronic liver disease, and 208 (33.4%) had liver cirrhosis. HCC was diagnosed in 160 patients (25.7%). The area under the receiver operating characteristics curves (AUROCs) of the serum AFP, AFP-L3 fraction, AFP-L3, and PIVKA-II levels for the diagnosis of HCC were 0.775, 0.792, 0.814, and 0.834, respectively. A novel diagnostic model was developed by classifying patients in a 1:1 ratio into training and validation sets. Using the binary regression analysis of the training cohort, the AFP, AFP-L3 fraction, and PIVKA-II (ALPs) score was calculated as follows: ALPs score = 3.8 × [serum AFP level (ng/mL) × AFP-L3 fraction (%) × 0.01] + 0.2 × PIVKA-II level (mAU/mL). The AUROC of the ALPs score for diagnosis of HCC was 0.878, significantly higher than that of serum AFP level (

conclusionThe ALPs score calculated using serum AFP level, AFP-L3 fraction, and PIVKA-II level showed improved accuracy in HCC diagnosis.

Indexed as

Carcinoma, HepatocellularLiver Neoplasmsalpha-FetoproteinsBiomarkersBiomarkers, TumorHumansPlant LectinsProtein PrecursorsProthrombinalpha-FetoproteinsBiomarkersBiomarkers, Tumorlentil lectinPlant LectinsProtein PrecursorsProthrombinAlpha-fetoproteinHepatocellular carcinomaLens culinaris agglutinin-reactive fraction of alpha-fetoproteinProtein induced by vitamin K absence or antagonist-II

Identifiers

PMID34366629
PMCPMC8326250
OpenAlexW3184828535

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.