Evidence map›Paper›PMID 28810082›Full record

ReviewJournal of clinical laboratory analysis2018

Therapeutic monoclonal antibodies and clinical laboratory tests: When, why, and what is expected?

Zhanhu Zhang, Wenjie Hu, Linlin Li, Hongxia Ding, Haibo Li

Abstract readReview
In one paragraph

Review 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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.

  1. 3D-Printed COVID-19 immunosensors with electronic readout.Chemical engineering journal (Lausanne, Switzerland : 1996) · 2021
    Article
  2. Review
  3. Review
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.

Zhanhu ZhangInstitute of Medical Genetics and Reproductive Medicine, Nantong Maternity and Child Health Hospital, Nantong, Jiangsu, China.
Wenjie HuDepartment of Clinical Laboratory Medicine, Nantong Maternal and Child Health Hospital, Nantong, Jiangsu, China.
Linlin LiDepartment of Clinical Laboratory Medicine, Nantong Maternal and Child Health Hospital, Nantong, Jiangsu, China.
Hongxia DingPharmacodia (Beijing) Co., LTD, Beijing, China.
Haibo LiDepartment of Clinical Laboratory Medicine, Nantong Maternal and Child Health Hospital, Nantong, Jiangsu, China.ORCID http://orcid.org/0000-0003-1315-8141

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe herein provide an overview of the clinical laboratory tests that should be performed before, during and after using therapeutic monoclonal antibodies (mAbs) and the clinical laboratory tests that may be affected by mAbs.

methodsThe labels of FDA-approved therapeutic mAbs were downloaded from DailyMed (the official website for drug labels) and were used as the sources of data for this review.

resultsIt was found that most of the labels provided information relevant to the clinical laboratory tests, including the tests needed before mAbs treatment to check the patients' background status and to identify potentially sensitive patients, the tests needed during or after the treatment to evaluate the patients' response, and the mAbs that may lead to false positive or negative results for clinical laboratory tests.

conclusionsThe present findings will be of interest to physicians, laboratory scientists, those involved in drug development and surveillance and individuals making health care policy.

Indexed as

Antibodies, MonoclonalClinical Laboratory TechniquesHumansAntibodies, Monoclonalclinical laboratory testsFDA labels DailyMedlaboratory test interferencemandatory testingtherapeutic monoclonal antibodies

Identifiers

PMID28810082
PMCPMC6817047

What OpenQuestion holds

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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.