Evidence map›Paper›PMID 37159609›Full record

ArticleAsia-Pacific journal of oncology nursing2023

Translation and validation of the Pancreatic Cancer Disease Impact score for Chinese patients with pancreatic cancer: A methodological and cross-sectional study.

Lei Cui, Huiping Yu, Qingmei Sun, Yi Miao, Kuirong Jiang, Xiaoping Fang

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

Article in Asia-Pacific journal of oncology nursing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact, top 98% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 0 citations in OpenAlex.

  1. Pooled it
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 at 1 institution in 1 country.

Lei CuiDepartment of General Surgery, Pancreas Center, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Huiping YuDepartment of General Surgery, Pancreas Center, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Qingmei SunDepartment of General Surgery, Pancreas Center, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Yi MiaoDepartment of General Surgery, Pancreas Center, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Kuirong JiangDepartment of General Surgery, Pancreas Center, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Xiaoping FangDepartment of General Surgery, Pancreas Center, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Nanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: We aimed to establish and validate the Chinese version of the Pancreatic Cancer Disease Impact (C-PACADI) score for Chinese patients with pancreatic cancer (PC). Methods: This was a methodological and cross-sectional study. We established the C-PACADI score following Beaton's translation guidelines and then included 209 patients with PC to evaluate C-PACADI's reliability and validity. Results: The Cronbach's alpha coefficient of the C-PACADI score was 0.822. The correlation coefficient between "skin itchiness" score and the total score was 0.224, while the correlation coefficients ranged from 0.515 to 0.688 ( Conclusions: The C-PACADI score is a suitable disease-specific tool for measuring the prevalence and severity of multiple symptoms in the Chinese population with PC.

Indexed as

ChinesePancreatic cancerPancreatic Cancer Disease impact scorePsychometric propertiesSymptom

Identifiers

PMID37159609
PMCPMC10162946
OpenAlexW4321201854

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.