Evidence map›Paper›PMID 28543924›Full record

ArticleJournal of clinical laboratory analysis2018

Plasma serotonin level is a predictor for recurrence and poor prognosis in colorectal cancer patients.

Yan Xia, Dawei Wang, Nan Zhang, Zhihao Wang, Li Pang

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

12 citing papers in PubMed, 30 citations in OpenAlex.

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  6. The Role of Serotonin in Breast Cancer Stem Cells.Molecules (Basel, Switzerland) · 2021
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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 1 institution in 1 country.

Yan XiaDepartment of Gastroenterology, The First Hospital of Jilin University, Changchun, China.
Dawei WangDepartment of Emergency, The First Hospital of Jilin University, Changchun, China.
Nan ZhangDepartment of Emergency, The First Hospital of Jilin University, Changchun, China.
Zhihao WangDepartment of Geriatrics, The First Hospital of Jilin University, Changchun, China.
Li PangDepartment of Emergency, The First Hospital of Jilin University, Changchun, China.ORCID http://orcid.org/0000-0003-0561-4100
Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo investigate the prognostic value of plasma serotonin levels in colorectal cancer (CRC). PATIENTS AND

methodsPreoperative plasma serotonin levels of 150 healthy control (HC) cases, 150 benign colorectal polyp (BCP) cases, and 176 CRC cases were determined using radioimmunoassay assay. Serotonin levels were compared between HC, BCP, and CRC cases, and those in CRC patients were related to 5-year outcome.

resultsPlasma serotonin levels were markedly higher in CRC patients than in either HCs or BCP cases. An elevated serotonin level was significantly associated with advanced tumor node metastasis. Receiver operating characteristic curve analysis showed that the level of serotonin had a high predictive value for disease recurrence and mortality. Multivariate analysis revealed that high serotonin level was significantly associated with poor recurrence-free survival and overall survival.

conclusionOur results suggest that a high peri-operative plasma serotonin level is useful as a prognostic biomarker for CRC recurrence and poor survival.

Indexed as

Biomarkers, TumorCarcinoembryonic AntigenCase-Control StudiesColorectal NeoplasmsFemaleHumansKaplan-Meier EstimateMaleMiddle AgedNeoplasm Recurrence, LocalPrognosisROC CurveSerotoninBiomarkers, TumorCarcinoembryonic AntigenSerotoninbiomarkercolorectal cancerplasma serotonin

Identifiers

PMID28543924
PMCPMC6816875
OpenAlexW2617031421

What OpenQuestion holds

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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.