Evidence map›Paper›PMID 28222335›Full record

ArticleJournal of chromatography. B, Analytical technologies in the biomedical and life sciences2017

Sensitive simultaneous quantitation of testosterone and estradiol in serum by LC-MS/MS without derivatization and comparison with the CDC HoSt program.

Ryan C Schofield, Damodara R Mendu, Lakshmi V Ramanathan, Melissa S Pessin, Dean C Carlow

Open access · greenAbstract readComparative StudyValidation Study
In one paragraph

Article in Journal of chromatography. B, Analytical technologies in the biomedical and life sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

8 citing papers in PubMed, 24 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.

Ryan C SchofieldDepartment of Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
Damodara R MenduDepartment of Laboratory Medicine, Montefiore Medical Center, Bronx, NY, United States.
Lakshmi V RamanathanDepartment of Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
Melissa S PessinDepartment of Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
Dean C CarlowDepartment of Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States. Electronic address: carlowd@mskcc.org.
Memorial Sloan Kettering Cancer Center · USMontefiore Medical Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

backgroundVery sensitive measurements of serum estrogens and testosterone are important in adult and pediatric endocrinology and immunoassays are known to lack the required performance at very low levels. Our aim was to develop a sensitive HPLC-MS/MS assay for both estradiol (E

methodsSerum samples were prepared by the addition of internal standards followed by extraction using hexane:ethyl acetate. Chromatographic separation was achieved using a C

resultsThe lower limits of quantitation (LLOQs) of E

conclusionWe have developed an accurate and highly sensitive assay to measure E

Indexed as

AcetatesAdultChromatography, High Pressure LiquidEstradiolHexanesHumansLimit of DetectionTandem Mass SpectrometryTestosteroneAcetatesEstradiolethyl acetateHexanesTestosteroneCDC HoStEstradiolLiquid chromatographyMass spectrometryMethod correlationNIST SRM 971Testosterone

Identifiers

PMID28222335
PMCPMC5379634
OpenAlexW2586634899

What OpenQuestion holds

Textmetadata
LicenceTDM
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.