Evidence map›Paper›PMID 32264878›Full record

ArticleBMC surgery2020

Gallbladder tuberculosis in a dialysis patient: a case-report.

Tewodross Getu Wolde, Kuirong Jiang, Yi Miao, Jishu Wei

Open access · goldAbstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 49% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 2 institutions in 1 country.

Tewodross Getu WoldeThe First Affiliated Hospital of Nanjing Medical University, School of International Education, Nanjing Medical University, 300 Guangzhou Road, Nanjing, Jiangsu, China.
Kuirong JiangPancreas Center, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, Jiangsu, China.
Yi MiaoPancreas Center, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, Jiangsu, China.
Jishu WeiPancreas Center, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, Jiangsu, China. weijishu@njmu.edu.cn.
Nanjing Medical University · CNJiangsu Province Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe diagnosis of gallbladder tuberculosis remains elusive even to the most experienced clinicians. Our aim is to describe our experience of this rare disease, and to raise awareness of the increasing likelihood of tuberculosis in chronic kidney disease (CKD) patient. CASE PRESENTATION: We report a rare case of gallbladder tuberculosis in a chronic kidney disease patient on hemodialysis. This combination is rarely reported in literature. No signs of abdominal tuberculosis were observed besides a clinical profile consistent with CKD in our patient. The clinical signs of uremia masks those of abdominal tuberculosis and render the pre-operative diagnosis of tuberculosis more difficult.

conclusionsThe clinical signs of uremia conceal those of abdominal tuberculosis. The diagnosis of tuberculosis in CKD patients hinges mainly on a high index of suspicion, perioperative findings and histological examination.

Indexed as

Renal DialysisAgedFemaleGallbladder DiseasesHumansKidney Failure, ChronicTuberculosisAbdominal tuberculosisChronic kidney disease (CKD)End-stage renal disease (ESRD)Gallbladder cancerGallbladder tuberculosisHemodialysisImmunodeficiency

Identifiers

PMID32264878
PMCPMC7137183
OpenAlexW3014228360

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.