Evidence map›Paper›PMID 27869362›Full record

Trial reportCPT: pharmacometrics & systems pharmacology2016

Fractal Geometry-Based Decrease in Trimethoprim-Sulfamethoxazole Concentrations in Overweight and Obese People.

R G Hall, J G Pasipanodya, C Meek, R D Leff, M Swancutt, T Gumbo

Registry-linked trialOpen access · goldAbstract readClinical Trial
In one paragraph

Trial report in CPT: pharmacometrics & systems pharmacology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01167452 (Population Pharmacokinetic Analysis of Sulfamethoxazole and Trimethoprim in Normal Weight, Overweight, and Obese Volunteers), which is not on this map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% 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.

NCT01167452 phase4completednot on this map

Population Pharmacokinetic Analysis of Sulfamethoxazole and Trimethoprim in Normal Weight, Overweight, and Obese Volunteers

TypeinterventionalSponsorTexas Tech University Health Sciences CenterRan2010 to 2012Enrolled36ConditionsObesity, Pharmacokinetics, MRSA, TuberculosisArmsSulfamethoxazole/trimethoprim
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Updated antimicrobial dosing recommendations for obese patients.Antimicrobial agents and chemotherapy · 2024
    Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

6 authors at 5 institutions in 2 countries.

R G HallDepartment of Pharmacy Practice, Texas Tech University Health Sciences Center, School of Pharmacy, Austin, Texas, USA.
J G PasipanodyaCenter for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas, USA.
C MeekDepartment of Pharmacy Practice, Texas Tech University Health Sciences Center, School of Pharmacy, Austin, Texas, USA.
R D LeffDepartment of Pharmacy Practice, Texas Tech University Health Sciences Center, School of Pharmacy, Austin, Texas, USA.
M SwancuttDepartment of Medicine, UT Southwestern Medical Center, Dallas, Texas, USA.
T GumboCenter for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas, USA.
Texas Tech University · USBaylor University Medical Center · USTexas Tech University Health Sciences Center · USThe University of Texas Southwestern Medical Center · USUniversity of Cape Town · ZA

Funding

NORTH AND CENTRAL TEXAS CTSA FOR PEDIATRIC RESEARCHUL1RR024982 · NCRR · UT SOUTHWESTERN MEDICAL CENTER · PI TOTO, ROBERT DANIEL · 2007 to 2011
$27.9M
UT Southwestern Center for Translational Medicine (UL1/KL2/TL1)UL1TR001105 · NCATS · UT SOUTHWESTERN MEDICAL CENTER · PI TOTO, ROBERT DANIEL · 2013 to 2017
$24.5M
North and Central Texas Clinical and Translational Science Initiative (KL2)KL2RR024983 · NCRR · UT SOUTHWESTERN MEDICAL CENTER · PI TOTO, ROBERT DANIEL · 2007 to 2011
$4.3M
UT Southwestern Center for Translational Medicine (UL1/KL2/TL1KL2TR001103 · NCATS · UT SOUTHWESTERN MEDICAL CENTER · PI TOTO, ROBERT DANIEL · 2013 to 2017
$4.0M
NCATS NIH HHS KL2 TR001103NCATS NIH HHS UL1 TR001105NCRR NIH HHS KL2 RR024983NCRR NIH HHS UL1 RR024982
6 · The paper itself

Abstract

Trimethoprim-sulfamethoxazole (TMP-SMX) is one of the most widely drugs on earth. The World Health Organization recommends it as an essential basic drug for all healthcare systems. Dosing is inconsistently based on weight, assuming linear relationships. Given that obesity is now a global "pandemic" it is vital that we evaluate the effect of obesity on trimethoprim-sulfamethoxazole concentrations. We conducted a prospective clinical experiment based on optimized design strategies and artificial intelligence algorithms and found that weight and body mass index (BMI) had a profound effect on drug clearance and volume of distribution, and followed nonlinear fractal geometry-based relationships. The findings were confirmed by demonstrating decreased TMP-SMX peak and area under the concentration-time curves in overweight patients based on standard regression statistics. The nonlinear relationships can now be used to identify new TMP-SMX doses in overweight and obese patients for each of the infections caused by the >60 pathogens for which the drug is indicated.

Indexed as

AdultAgedAnti-Bacterial AgentsArtificial IntelligenceBody WeightDrug Dosage CalculationsFemaleFractalsHumansMaleMetabolic Clearance RateMiddle AgedObesityOverweightProspective StudiesTrimethoprim, Sulfamethoxazole Drug CombinationAnti-Bacterial AgentsTrimethoprim, Sulfamethoxazole Drug Combination

Identifiers

PMID27869362
PMCPMC5193002
OpenAlexW2549732652

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.