Evidence map›Paper›PMID 25258088›Full record

ArticleJournal of clinical hypertension (Greenwich, Conn.)2014

Comparison of new-onset gout in adults prescribed chlorthalidone vs. hydrochlorothiazide for hypertension.

Liza Wilson, Kavita V Nair, Joseph J Saseen

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical hypertension (Greenwich, Conn.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. 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

3 authors at 2 institutions in 1 country.

Liza WilsonDepartment of Family Medicine, School of Medicine, University of Missouri - Kansas City, Kansas City, MO.
Kavita V Nair
Joseph J Saseen
University of Colorado Anschutz Medical Campus · USUniversity of Missouri–Kansas City · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study assessed the risk of new-onset gout following prescribing of hydrochlorothiazide (HCTZ) compared with chlorthalidone (CTD). This retrospective cohort analysis used administrative claims from 2000 to 2012 to identify patients aged 18 to 89 years with hypertension who were prescribed CTD or HCTZ. Patients were excluded if they had a prior diagnosis of gout, conditions or prescription claims for medications that alter risk of gout, or if they switched between these two diuretics. A total of 1011 patients prescribed CTD were matched with 2022 patients prescribed HCTZ based on age, sex, and Chronic Condition Indicator. New-onset gout occurred in 17 of 1011 (1.68%) patients in the CTD group and in 26 of 2022 (1.29%) patients in the HCTZ group (P=.27). The number of days to first occurrence of gout was 183.6 days and 152.7 days in the CTD and HCTZ groups, respectively (P=.39). The mean daily dose was 22.7 mg for CTD and 24.3 mg for HCTZ, and the median dose of both CTD and HCTZ was 25 mg at the time of new-onset gout. Patients prescribed CTD for hypertension have a similar risk of developing new-onset gout compared with patients prescribed similar doses of HCTZ.

Indexed as

AdultAgedAntihypertensive AgentsBlood PressureChlorthalidoneCohort StudiesDiureticsFemaleGoutHumansHydrochlorothiazideHypertensionMaleMiddle AgedRetrospective StudiesAntihypertensive AgentsChlorthalidoneDiureticsHydrochlorothiazide

Identifiers

PMID25258088
PMCPMC8031516
OpenAlexW1981204872

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.