Evidence map›Paper›PMID 34188541›Full record

ArticleCancer management and research2021

Improvement of Diagnostic Accuracy for Pancreatic Cancer with Serum Lactate Dehydrogenase.

Xi Wang, Chunbin Wang, Haijun Zhang

Open access · goldAbstract read
In one paragraph

Article in Cancer management and research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

3 authors at 2 institutions in 1 country.

Xi Wang *Department of Oncology, Zhongda Hospital, Medical School of Southeast University, Nanjing, Jiangsu Province, People's Republic of China.
Chunbin Wang *Department of Oncology, Yancheng Third People's Hospital, The Affiliated Yancheng Hospital of Southeast University Medical College, Yancheng, Jiangsu Province, People's Republic of China.
Haijun ZhangDepartment of Oncology, Zhongda Hospital, Medical School of Southeast University, Nanjing, Jiangsu Province, People's Republic of China.ORCID 0000-0002-4313-3001
Zhongda Hospital Southeast University · CNYancheng Third People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDue to the lack of early-stage detection, pancreatic cancer (PC) remains a devastating disease worldwide. Lactate dehydrogenase (LDH) is associated with tumorigenesis and cancer progression. This study aims to analyze the diagnostic improvements in serum LDH levels combined with other common tumor biomarkers, including carbohydrate antigen 19-9 (CA19-9) and carcinoembryonic antigen (CEA), for monitoring PC. PATIENTS AND

methodsA retrospective analysis was performed on 73 patients with newly diagnosed PC, 90 patients with pancreatic benign diseases (PBD), and 92 people with healthy physical examination (HPE) at Zhongda Hospital, Southeast University from July 2013 to July 2020. The diagnostic efficiencies of serum levels of LDH, CA19-9, and CEA were analyzed through receiver operating characteristic (ROC) curves for PC. The sensitivity and specificity were evaluated at an optimal cutoff. The prognostic impacts of LDH on PC patients were also assessed.

resultsThe LDH level was elevated in 21 (28.77%) patients with PC, 3 (3.33%) PBD patients, and no HPE individuals (

conclusionThe serum LDH level was higher in PC patients than in PBD patients and HPE individuals and was associated with a poor prognosis. The combined assessment of LDH, CEA, and CA19-9 showed higher sensitivity and specificity for the diagnosis of PC.

Indexed as

diagnosislactate dehydrogenasepancreatic cancer

Identifiers

PMID34188541
PMCPMC8232858
OpenAlexW3175133273

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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Registered trials

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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.