Evidence map›Paper›PMID 25110633›Full record

ArticleCurrent tropical medicine reports2014

Mussaret Bano Zaidi, Teresa Estrada-García

Abstract read
In one paragraph

Article in Current tropical medicine reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
–field-weighted citation impact
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

58 citing papers in PubMed.

  1. Trial
  2. New microbes and new infections · 2026
    Review
  3. Bacteriophage Sf14 survival under simulated gastrointestinal conditions.bioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. bioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. The Burden and Genomic Characterization ofmedRxiv : the preprint server for health sciences · 2026
    Article
  8. Article
  9. Bacteriophage Therapy AgainstAntibiotics (Basel, Switzerland) · 2026
    Review
  10. Explainable AI-SERS approach for highly accurate discrimination ofCurrent research in microbial sciences · 2026
    Article
  11. Isolation and characterization of lyticFrontiers in cellular and infection microbiology · 2026
    Article
  12. Temporal trends ofFrontiers in public health · 2026
    Observational
  13. Article
  14. Article
  15. Article
  16. Article
  17. Bacteremic vs NonbacteremicOpen forum infectious diseases · 2025
    Article
  18. LargeEpidemiology and infection · 2025
    Article
  19. Article
  20. 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

2 authors.

Mussaret Bano ZaidiMicrobiology Research Laboratory, Hospital General O'Horan, Av. Itzaes x Jacinto Canek, C.P. 97000 Mérida, Mexico. Phone and fax: +52-(999) 923-8673, mbzaidi@prodigy.net.mx ; Infectious Diseases Research Unit, Hospital Regional de Alta Especialidad de la Península de Yucatán, Km. 8.5 Carr. Merida-Cholul S/N, Col. Maya, C.P. 97134, Merida, Mexico.
Teresa Estrada-GarcíaDepartment of Molecular Biomedicine, CINVESTAV-IPN, Av. Instituto Politecnico Nacional 2508, San Pedro Zacatenco, C.P. 07360, Mexico City, Mexico. , testrada@cinvestav.mx.

Funding

Blood Transcriptional Biomarker Profiles for Category B PathogensU01AI082110 · NIAID · BENAROYA RESEARCH INST AT VIRGINIA MASON · PI LINSLEY, PETER S · 2009 to 2013
$6.3M
NIAID NIH HHS U01 AI082110
6 · The paper itself

Abstract

Despite a significant decrease in

Indexed as

antimicrobial resistancebacterialdeveloping countriesepidemiologyextended-spectrum cephalosporinsfluoroquinolonesimmune evasionindustrialized countriesIpamorbiditymortalityserotype switchingShigellasocioeconomic conditionstropical medicineType III secretion systemvaccinevirulence factors

Identifiers

PMID25110633
PMCPMC4126259

What OpenQuestion holds

Textmetadata
LicenceTDM
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.