Evidence map›Paper›PMID 38525466›Full record

ArticleMedical journal, Armed Forces India

Smoking blunts sertraline response in depression: A prospective observational cohort study.

Prafull Mohan, Kaushik Chatterjee, Sharmila Sinha, R K Saini, A K Sharma, Suraj Waikole

Open access · greenAbstract read
In one paragraph

Article in Medical journal, Armed Forces India. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 2 institutions in 1 country.

Prafull MohanClassified Specialist (Pharmacology) & Commanding Officer, 421 Field Hospital, C/o 99 APO, India.
Kaushik ChatterjeeProfessor & Head, Department of Psychiatry, Armed Forces Medical College, Pune, India.
Sharmila SinhaProfessor & Head, Department of Pharmacology, Armed Forces Medical College, Pune, India.
R K SainiSenior Adviser (Psychiatry), Command Hospital (Eastern Command), Kolkata, India.
A K SharmaEx-Professor & Head, Department of Pharmacology, Armed Forces Medical College, Pune, India.
Suraj WaikoleResident, Department of Pharmacology, Armed Forces Medical College, Pune, India.
Armed Forces Medical College · INCommand Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Smoking is common in patients of depression and is known to affect response to antidepressants. This study was undertaken to evaluate the effect of smoking on the antidepressant effect of sertraline. Method: Patients with depression were divided into smoker and nonsmoker cohorts and followed up for 8 weeks. Serum sertraline levels were estimated using the high-performance liquid chromatography system. Response to treatment was evaluated with the Hamilton Depression Rating Scale (HAM-D). Results: Serum sertraline levels did not differ between smokers and nonsmokers at 4 and 8 weeks. Nonsmokers responded better to sertraline than smokers after 8 weeks. Adverse drug reaction profile did not vary between the two groups and was not impacted by serum sertraline levels. Nonsmokers showed a greater fall in the HAM-D score than smokers. Conclusion: This study found depression among smokers to be less responsive to sertraline. This was not explained by serum sertraline levels. Treatment of depression in smokers with sertraline might require higher doses and duration, with more frequent reviews.

Indexed as

HAM D scoreSertralineSerum sertraline levelsSmoking

Identifiers

PMID38525466
PMCPMC10954491
OpenAlexW4211191301

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.