Evidence map›Paper›PMID 33603411›Full record

ArticleInfection and drug resistance2021

Resistance Trends of

Yanhui Ding, Huijuan Wang, Shuli Pu, Shifeng Huang, Siqiang Niu

Open access · goldAbstract read
In one paragraph

Article in Infection and drug resistance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 25 citations in OpenAlex.

  1. Carbapenem-resistantbioRxiv : the preprint server for biology · 2026
    Article
  2. Rising Prevalence of Multidrug-ResistantAntibiotics (Basel, Switzerland) · 2025
    Article
  3. CAUTIon - not all UTIs are the same.Nature reviews. Urology · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Observational
  9. Prevalence and antibiotic resistance ofThe Journal of international medical research · 2022
    Article
  10. Article
  11. 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

5 authors at 1 institution in 1 country.

Yanhui DingDepartment of Laboratory Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Huijuan WangDepartment of Laboratory Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Shuli PuDepartment of Laboratory Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Shifeng Huang *Department of Laboratory Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.ORCID 0000-0001-7641-8823
Siqiang Niu *Department of Laboratory Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.ORCID 0000-0002-8911-7138
The Affiliated Yongchuan Hospital of Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo analyze the characteristics and trends of drug resistance for

methodsThis retrospective study was conducted in a teaching hospital in Chongqing from 2011 to 2019. Laboratory data of isolated bacteria were collected and analyzed.

resultsAmong the 17,966 non-repetitive strains isolated from the urine sample, a total of 1543

conclusionThere is a significant upward tendency in carbapenem resistance rate and a downward tendency in ESBL-production rate in

Indexed as

carbapenem resistanceextended-spectrum β-lactamaseKlebsiella pneumoniaeurinary tract infections

Identifiers

PMID33603411
PMCPMC7881772
OpenAlexW3127082936

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.