Calling in the test: Smartphone-based urinary sepsis diagnostics.

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.

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.

Who cites it

3 citing papers in PubMed.

1. Significant adverse prognostic events in patients with urosepsis: a machine learning based model development and validation study.Frontiers in cellular and infection microbiology · 2025
   Article
2. Identifying Enablers of Participant Engagement in Clinical Trials of Consumer Health Technologies: Qualitative Study of Influenza Home Testing.Journal of medical Internet research · 2021
   Article
3. Synergistically enhanced colorimetric molecular detection using smart cup: a case for instrument-free HPV-associated cancer screening.Theranostics · 2019
   Article

Corrections and comments

• Comment on
  Smartphone-based pathogen diagnosis in urinary sepsis patients.2018

Authors and funding

1 author.

Funding

No grant is acknowledged in the PubMed record.

Abstract

PubMed holds no abstract for this paper.

Indexed as