Evidence map›Paper›PMID 32103993›Full record

ArticleOncoTargets and therapy2020

Prognostic Values of LDH and CRP in Cervical Cancer.

Han Wang, Meng-Sen Wang, Yong-Heng Zhou, Jian-Ping Shi, Wen-Jie Wang

Open access · goldAbstract read
In one paragraph

Article in OncoTargets and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 3 pooled it
1.9field-weighted citation impact, top 12% 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

31 citing papers in PubMed, 3 syntheses or guidelines pooled it, 40 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Han Wang *Department of Oncology, Jining Cancer Hospital, Jining, Shandong, People's Republic of China.
Meng-Sen Wang *Department of Oncology, Jining No. 1 People's Hospital, Jining, Shandong, People's Republic of China.
Yong-Heng Zhou *Department of Oncology, Jining Cancer Hospital, Jining, Shandong, People's Republic of China.
Jian-Ping ShiDepartment of Radio-Oncology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, People's Republic of China.
Wen-Jie WangDepartment of Radio-Oncology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, People's Republic of China.ORCID 0000-0002-5214-1476
Suzhou Municipal Hospital · CNJining First People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCervical cancer is one of the deadliest tumors among women in China. C-reactive protein (CRP), an indicator of inflammation, and lactate dehydrogenase (LDH), an enzyme ubiquitously expressed in cells, both play important roles in tumor growth and metastasis. PATIENTS AND

methodsBased on pre-radiotherapy LDH and CRP median levels, we divided patients into four groups: high LDH and CRP group, high LDH group, high CRP group, and low LDH and CRP group. Then, based on pre-/post-radiotherapy LDH and CRP ratios, we divided patients into four groups: high LDH and CRP ratio group, high LDH ratio group, high CRP ratio group, and low LDH and CRP ratio group. Kaplan-Meier (KM) curves were constructed to show overall survival (OS). A multivariate Cox regression model was employed to identify the independent risk factors.

resultsHigh pre-radiotherapy LDH and CRP levels and increased pre-/post-radiotherapy LDH and CRP ratios were correlated with worst OS compared with the other three groups.

conclusionLDH and CRP were correlated with outcomes in patients with locally advanced cervical cancer.

Indexed as

cervical cancerCRPLDHOSprognosis

Identifiers

PMID32103993
PMCPMC7023883
OpenAlexW3005208355

What OpenQuestion holds

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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.