Evidence map›Paper›PMID 28539956›Full record

ArticlePsychiatry investigation2017

Serum Prolactin Levels in Patients with Major Depressive Disorder Receiving Selective Serotonin-Reuptake Inhibitor Monotherapy for 3 Months: A Prospective Study.

Young-Min Park

Open access · diamondAbstract read
In one paragraph

Article in Psychiatry investigation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 42% 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

6 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Amenorrhea as a Side Effect of Low Dose Aripiprazole: An Adolescent Case.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2019
    Article
  5. Article
  6. Depression and anxiety in recurrent giant cell tumor of bone.Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie
    Article
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

1 author at 1 institution in 1 country.

Young-Min ParkDepartment of Psychiatry, Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Republic of Korea.
Inje University Ilsan Paik Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIt is unclear whether selective serotonin-reuptake inhibitors (SSRIs) can significantly increase the prolactin level. The purpose of this study was to identify the relationship between the prolactin level and the administration of SSRIs such as escitalopram and sertraline. An additional purpose was to determine whether the elevation of prolactin differs between escitalopram and sertraline treatment.

methodsSerum prolactin levels were measured at baseline and after 3 months in 23 patients who received SSRI monotherapy with escitalopram (n=18) (ESC group) or sertraline (n=5) (SERT group) for 3 months.

resultsThe prevalence of hyperprolactinemia at posttreatment was 34.8% (8/23). The overall pretreatment and posttreatment prolactin levels were 21.86±20.21 and 19.89±12.03 ng/mL (mean±SD), respectively, with ranges of 6.85-86.20 and 5.19-47.61 ng/mL. The pretreatment and posttreatment prolactin levels were 20.66±15.92 and 21.97±12.33 ng/mL, respectively, in the ESC group, and 26.18±33.75 and 12.43±7.76 ng/mL in the SERT group.

conclusionClinicians should be aware that hyperprolactinemia can appear in patients receiving escitalopram or sertraline, even though they do not need routine monitoring for prolactin levels.

Indexed as

HyperprolactinemiaProlactinSerotoninSSRI

Identifiers

PMID28539956
PMCPMC5440440
OpenAlexW2620243137

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.