Evidence map›Paper›PMID 38700058›Full record

ArticleRenal failure2024

Peritoneal dialysis in an end-stage renal disease patient with massive ascites and primary liver cancer.

Lulu Sun, Chunmei Liang, Yuqin Wang, Hui Li, Lijun Yao, Huajun Jiang

Abstract readCase Reports
In one paragraph

Article in Renal failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Lulu SunDepartment of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Chunmei LiangDepartment of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yuqin WangDepartment of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Hui LiDepartment of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Lijun YaoDepartment of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Huajun JiangDepartment of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

End-stage renal disease (ESRD) coexisted with cirrhosis, ascites, and primary liver cancer represents an extraordinarily rare clinical condition that typically occurs in very late-stage decompensated cirrhosis and is associated with an extremely poor prognosis. We present a case of a 68-year-old male patient with ESRD who experienced various decompensated complications of liver cirrhosis, particularly massive ascites and hepatic space-occupying lesions. Peritoneal dialysis (PD) catheter insertion and continuous ambulatory peritoneal dialysis (CAPD) treatment were successfully performed. During meticulous follow-up, the patient survived for one year but ultimately succumbed to complications related to liver cancer. PD can serve as an efficacious therapeutic approach for such late-stage patients afflicted together with severe cirrhosis, massive ascites and primary liver cancer.

Indexed as

AscitesKidney Failure, ChronicLiver CirrhosisLiver NeoplasmsAgedFatal OutcomeHumansMalePeritoneal DialysisPeritoneal Dialysis, Continuous Ambulatoryascitesend-stage renal diseaseLiver cirrhosisperitoneal dialysisprimary liver cancer

Identifiers

PMID38700058
PMCPMC11073402

What OpenQuestion holds

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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.