Evidence map›Paper›PMID 38410364›Full record

ReviewRSC advances2024

Synthesis of anti-depressant molecules

Aqsa Kanwal, Uzma Afzal, Muhammad Zubair, Muhammad Imran, Nasir Rasool

Open access · goldAbstract readReview
In one paragraph

Review in RSC advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.5field-weighted citation impact, top 21% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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 at 2 institutions in 2 countries.

Aqsa KanwalDepartment of Chemistry, Government College University Faisalabad 38000 Pakistan aqsa6373@gmail.com uzmaafzal520@gmail.com zubairmkn@gcuf.edu.pk nasirrasool@gcuf.edu.pk +92-3085448384.
Uzma AfzalDepartment of Chemistry, Government College University Faisalabad 38000 Pakistan aqsa6373@gmail.com uzmaafzal520@gmail.com zubairmkn@gcuf.edu.pk nasirrasool@gcuf.edu.pk +92-3085448384.
Muhammad ZubairDepartment of Chemistry, Government College University Faisalabad 38000 Pakistan aqsa6373@gmail.com uzmaafzal520@gmail.com zubairmkn@gcuf.edu.pk nasirrasool@gcuf.edu.pk +92-3085448384.
Muhammad ImranChemistry Department, Faculty of Science, King Khalid University P.O. Box 9004 Abha 61413 Saudi Arabia imranchemist@gmail.com.ORCID https://orcid.org/0000-0003-4072-4997
Nasir RasoolDepartment of Chemistry, Government College University Faisalabad 38000 Pakistan aqsa6373@gmail.com uzmaafzal520@gmail.com zubairmkn@gcuf.edu.pk nasirrasool@gcuf.edu.pk +92-3085448384.ORCID https://orcid.org/0000-0001-9205-4513
Government College University, Faisalabad · PKKing Khalid University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Depression is one of the most mutilating conditions in the world today. It has been difficult to make advancements toward better, more effective therapies since the introduction of antidepressant medicines in the late 1950s. One important field of medicinal chemistry is the synthesis of antidepressant molecules through metal-catalyzed procedures. The important role that different transition metals, including iron, nickel, ruthenium, and others, serve as catalysts in the synthesis of antidepressants is examined in this review. Key structural motifs included in antidepressant drugs such as tricyclic antidepressants (TCAs), selective serotonin reuptake inhibitors (SSRIs), and others can be synthesized in a variety of effective ways using metal-catalyzed steps. This review examines current developments in the catalytic synthesis of antidepressants and their potential application over the previous thirteen years.

Identifiers

PMID38410364
PMCPMC10895647
OpenAlexW4392172717

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.