Evidence map›Paper›PMID 25890023›Full record

ArticleWorld journal of surgical oncology2015

Distribution and pathological features of pancreatic, ampullary, biliary and duodenal cancers resected with pancreaticoduodenectomy.

Manju D Chandrasegaram, Su C Chiam, John W Chen, Aisha Khalid, Murthy L Mittinty, Eu L Neo, Chuan P Tan, Paul M Dolan, Mark E Brooke-Smith, Harsh Kanhere and 1 more

Open access · goldAbstract read
In one paragraph

Article in World journal of surgical oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 33 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Manju D ChandrasegaramHPB Surgery Unit, Royal Adelaide Hospital, North Terrace, Adelaide, SA, 5000, Australia. manju.chandrasegaram@adelaide.edu.au.
Su C ChiamHPB Surgery Unit, Royal Adelaide Hospital, North Terrace, Adelaide, SA, 5000, Australia. suchuenchiam@yahoo.co.uk.
John W ChenHPB Surgery Unit, Royal Adelaide Hospital, North Terrace, Adelaide, SA, 5000, Australia. john.chen@flinders.edu.au.
Aisha KhalidFlinders Medical Centre, Flinders Drive, Bedford Park, Adelaide, SA, 5042, Australia. aisha.khalid000@gmail.com.
Murthy L MittintySchool of Population Health, University of Adelaide, 178 North Terrace, Adelaide, SA, 5005, Australia. murthy.mittinty@adelaide.edu.au.
Eu L NeoHPB Surgery Unit, Royal Adelaide Hospital, North Terrace, Adelaide, SA, 5000, Australia. eu.neo@health.sa.gov.au.
Chuan P TanHPB Surgery Unit, Royal Adelaide Hospital, North Terrace, Adelaide, SA, 5000, Australia. tanchuanping@gmail.com.
Paul M DolanHPB Surgery Unit, Royal Adelaide Hospital, North Terrace, Adelaide, SA, 5000, Australia. paul.dolan@health.sa.gov.
Mark E Brooke-SmithHPB Surgery Unit, Royal Adelaide Hospital, North Terrace, Adelaide, SA, 5000, Australia. mark.brooke-smith@flinders.edu.au.
Harsh KanhereDivision of Surgery, School of Medicine, University of Adelaide, Adelaide, SA, 5005, Australia. Kanhere.Harsh@health.sa.gov.au.
Chris S WorthleyHPB Surgery Unit, Royal Adelaide Hospital, North Terrace, Adelaide, SA, 5000, Australia. chris.worthley@health.sa.gov.au.
Royal Adelaide Hospital · AUUniversity of Adelaide · AUFlinders Medical Centre · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPancreatic cancer (PC) has the worst survival of all periampullary cancers. This may relate to histopathological differences between pancreatic cancers and other periampullary cancers. Our aim was to examine the distribution and histopathologic features of pancreatic, ampullary, biliary and duodenal cancers resected with a pancreaticoduodenectomy (PD) and to examine local trends of periampullary cancers resected with a PD.

methodsA retrospective review of PD between January 2000 and December 2012 at a public metropolitan database was performed. The institutional ethics committee approved this study.

resultsThere were 142 PDs during the study period, of which 70 cases were pre-2010 and 72 post-2010, corresponding to a recent increase in the number of cases. Of the 142 cases, 116 were for periampullary cancers. There were also proportionately more PD for PC (26/60, 43% pre-2010 vs 39/56, 70% post-2010, P = 0.005). There were 65/116 (56%) pancreatic, 29/116 (25%), ampullary, 17/116 (15%) biliary and 5/116 (4%) duodenal cancers. Nodal involvement occurred more frequently in PC (78%) compared to ampullary (59%), biliary (47%) and duodenal cancers (20%), P = 0.002. Perineural invasion was also more frequent in PC (74%) compared to ampullary (34%), biliary (59%) and duodenal cancers (20%), P = 0.002. Microvascular invasion was seen in 57% pancreatic, 38% ampullary, 41% biliary and 20% duodenal cancers, P = 0.222. Overall, clear margins (R0) were achieved in fewer PC 41/65 (63%) compared to ampullary 27/29 (93%; P = 0.003) and biliary cancers 16/17 (94%; P = 0.014).

conclusionsThis study highlights that almost half of PD was performed for cancers other than PC, mainly ampullary and biliary cancers. The volume of PD has increased in recent years with an increased proportion being for PC. PC had higher rates of nodal and perineural invasion compared to ampullary, biliary and duodenal cancers.

Indexed as

PancreaticoduodenectomyAdultAgedAged, 80 and overAmpulla of VaterBiliary Tract NeoplasmsCommon Bile Duct NeoplasmsDuodenal NeoplasmsFemaleFollow-Up StudiesHumansMaleMiddle AgedNeoplasm InvasivenessNeoplasm StagingPancreatic Neoplasms

Identifiers

PMID25890023
PMCPMC4348158
OpenAlexW2170860769

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.