Evidence map›Paper›PMID 28092005›Full record

ArticleEnvironmental science and pollution research international2017

Investigation of diethylstilbestrol residue level in human urine samples by a specific monoclonal antibody.

Dai Zhang, Lifang Zhou, Yajing Lei, Zhan Zhou, Jie Zhou, Shuqing Chen

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.0field-weighted citation impact, top 16% 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

3 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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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

6 authors at 1 institution in 1 country.

Dai ZhangInstitute of Drug Metabolism and Pharmaceutical Analysis, College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Zijingang Campus, Hangzhou, Zhejiang, 310058, China.
Lifang ZhouHangzhou EPIE Bio-detection Technology Limited, Hangzhou, 310051, China.
Yajing LeiHangzhou EPIE Bio-detection Technology Limited, Hangzhou, 310051, China.
Zhan ZhouInstitute of Drug Metabolism and Pharmaceutical Analysis, College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Zijingang Campus, Hangzhou, Zhejiang, 310058, China.
Jie ZhouInstitute of Drug Metabolism and Pharmaceutical Analysis, College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Zijingang Campus, Hangzhou, Zhejiang, 310058, China. zhoujie127@zju.edu.cn.
Shuqing ChenInstitute of Drug Metabolism and Pharmaceutical Analysis, College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Zijingang Campus, Hangzhou, Zhejiang, 310058, China. chenshuqing@zju.edu.cn.
Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diethylstilbestrol (DES) is used as a kind of animal feed additive and affects people's health through the food chain. The purpose of this study is to detect the residue level of DES in 576 human urine samples directly. DES-BSA was used to immunize Balb/c mice. The monoclonal antibody was produced by hybridoma that was screened through cell fusion techniques. Finally, we developed the indirect competitive ELISA method to analyze 576 human urine samples from Zhejiang Province, China. The IC

Indexed as

Antibody SpecificityAdultAgedAged, 80 and overAnimalsAntibodies, MonoclonalDiethylstilbestrolDrug ResiduesEnzyme-Linked Immunosorbent AssayFemaleHumansLimit of DetectionMaleMiceMiddle AgedUrinalysisAntibodies, MonoclonalDiethylstilbestrolDiethylstilbestrolELISAHuman healthHuman urine samplesMonoclonal antibodyResidue level

Identifiers

PMID28092005
OpenAlexW2577428119

What OpenQuestion holds

Textmetadata
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.